Merge pull request #15664 from akien-mga/thirdparty

Bugfix updates to various thirdparty libraries

11 files changed, 0 insertions, 4125 deletions

diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.cpp b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.cpp
deleted file mode 100644
index 986f214870..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.cpp
+++ /dev/null
@@ -1,2080 +0,0 @@
-/*************************************************************************
-*                                                                       *
-* Open Dynamics Engine, Copyright (C) 2001,2002 Russell L. Smith.       *
-* All rights reserved.  Email: russ@q12.org   Web: www.q12.org          *
-*                                                                       *
-* This library is free software; you can redistribute it and/or         *
-* modify it under the terms of EITHER:                                  *
-*   (1) The GNU Lesser General Public License as published by the Free  *
-*       Software Foundation; either version 2.1 of the License, or (at  *
-*       your option) any later version. The text of the GNU Lesser      *
-*       General Public License is included with this library in the     *
-*       file LICENSE.TXT.                                               *
-*   (2) The BSD-style license that is included with this library in     *
-*       the file LICENSE-BSD.TXT.                                       *
-*                                                                       *
-* This library is distributed in the hope that it will be useful,       *
-* but WITHOUT ANY WARRANTY; without even the implied warranty of        *
-* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the files    *
-* LICENSE.TXT and LICENSE-BSD.TXT for more details.                     *
-*                                                                       *
-*************************************************************************/
-
-/*
-
-
-THE ALGORITHM
--------------
-
-solve A*x = b+w, with x and w subject to certain LCP conditions.
-each x(i),w(i) must lie on one of the three line segments in the following
-diagram. each line segment corresponds to one index set :
-
-     w(i)
-     /|\      |           :
-      |       |           :
-      |       |i in N     :
-  w>0 |       |state[i]=0 :
-      |       |           :
-      |       |           :  i in C
-  w=0 +       +-----------------------+
-      |                   :           |
-      |                   :           |
-  w<0 |                   :           |i in N
-      |                   :           |state[i]=1
-      |                   :           |
-      |                   :           |
-      +-------|-----------|-----------|----------> x(i)
-             lo           0           hi
-
-the Dantzig algorithm proceeds as follows:
-  for i=1:n
-    * if (x(i),w(i)) is not on the line, push x(i) and w(i) positive or
-      negative towards the line. as this is done, the other (x(j),w(j))
-      for j<i are constrained to be on the line. if any (x,w) reaches the
-      end of a line segment then it is switched between index sets.
-    * i is added to the appropriate index set depending on what line segment
-      it hits.
-
-we restrict lo(i) <= 0 and hi(i) >= 0. this makes the algorithm a bit
-simpler, because the starting point for x(i),w(i) is always on the dotted
-line x=0 and x will only ever increase in one direction, so it can only hit
-two out of the three line segments.
-
-
-NOTES
------
-
-this is an implementation of "lcp_dantzig2_ldlt.m" and "lcp_dantzig_lohi.m".
-the implementation is split into an LCP problem object (btLCP) and an LCP
-driver function. most optimization occurs in the btLCP object.
-
-a naive implementation of the algorithm requires either a lot of data motion
-or a lot of permutation-array lookup, because we are constantly re-ordering
-rows and columns. to avoid this and make a more optimized algorithm, a
-non-trivial data structure is used to represent the matrix A (this is
-implemented in the fast version of the btLCP object).
-
-during execution of this algorithm, some indexes in A are clamped (set C),
-some are non-clamped (set N), and some are "don't care" (where x=0).
-A,x,b,w (and other problem vectors) are permuted such that the clamped
-indexes are first, the unclamped indexes are next, and the don't-care
-indexes are last. this permutation is recorded in the array `p'.
-initially p = 0..n-1, and as the rows and columns of A,x,b,w are swapped,
-the corresponding elements of p are swapped.
-
-because the C and N elements are grouped together in the rows of A, we can do
-lots of work with a fast dot product function. if A,x,etc were not permuted
-and we only had a permutation array, then those dot products would be much
-slower as we would have a permutation array lookup in some inner loops.
-
-A is accessed through an array of row pointers, so that element (i,j) of the
-permuted matrix is A[i][j]. this makes row swapping fast. for column swapping
-we still have to actually move the data.
-
-during execution of this algorithm we maintain an L*D*L' factorization of
-the clamped submatrix of A (call it `AC') which is the top left nC*nC
-submatrix of A. there are two ways we could arrange the rows/columns in AC.
-
-(1) AC is always permuted such that L*D*L' = AC. this causes a problem
-when a row/column is removed from C, because then all the rows/columns of A
-between the deleted index and the end of C need to be rotated downward.
-this results in a lot of data motion and slows things down.
-(2) L*D*L' is actually a factorization of a *permutation* of AC (which is
-itself a permutation of the underlying A). this is what we do - the
-permutation is recorded in the vector C. call this permutation A[C,C].
-when a row/column is removed from C, all we have to do is swap two
-rows/columns and manipulate C.
-
-*/
-
-
-#include "btDantzigLCP.h"
-
-#include <string.h>//memcpy
-
-bool s_error = false;
-
-//***************************************************************************
-// code generation parameters
-
-
-#define btLCP_FAST		// use fast btLCP object
-
-// option 1 : matrix row pointers (less data copying)
-#define BTROWPTRS
-#define BTATYPE btScalar **
-#define BTAROW(i) (m_A[i])
-
-// option 2 : no matrix row pointers (slightly faster inner loops)
-//#define NOROWPTRS
-//#define BTATYPE btScalar *
-//#define BTAROW(i) (m_A+(i)*m_nskip)
-
-#define BTNUB_OPTIMIZATIONS
-
-
-
-/* solve L*X=B, with B containing 1 right hand sides.
- * L is an n*n lower triangular matrix with ones on the diagonal.
- * L is stored by rows and its leading dimension is lskip.
- * B is an n*1 matrix that contains the right hand sides.
- * B is stored by columns and its leading dimension is also lskip.
- * B is overwritten with X.
- * this processes blocks of 2*2.
- * if this is in the factorizer source file, n must be a multiple of 2.
- */
-
-static void btSolveL1_1 (const btScalar *L, btScalar *B, int n, int lskip1)
-{  
-  /* declare variables - Z matrix, p and q vectors, etc */
-  btScalar Z11,m11,Z21,m21,p1,q1,p2,*ex;
-  const btScalar *ell;
-  int i,j;
-  /* compute all 2 x 1 blocks of X */
-  for (i=0; i < n; i+=2) {
-    /* compute all 2 x 1 block of X, from rows i..i+2-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    Z21=0;
-    ell = L + i*lskip1;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-2; j >= 0; j -= 2) {
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[0];
-      q1=ex[0];
-      m11 = p1 * q1;
-      p2=ell[lskip1];
-      m21 = p2 * q1;
-      Z11 += m11;
-      Z21 += m21;
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[1];
-      q1=ex[1];
-      m11 = p1 * q1;
-      p2=ell[1+lskip1];
-      m21 = p2 * q1;
-      /* advance pointers */
-      ell += 2;
-      ex += 2;
-      Z11 += m11;
-      Z21 += m21;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 2;
-    for (; j > 0; j--) {
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[0];
-      q1=ex[0];
-      m11 = p1 * q1;
-      p2=ell[lskip1];
-      m21 = p2 * q1;
-      /* advance pointers */
-      ell += 1;
-      ex += 1;
-      Z11 += m11;
-      Z21 += m21;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-    p1 = ell[lskip1];
-    Z21 = ex[1] - Z21 - p1*Z11;
-    ex[1] = Z21;
-    /* end of outer loop */
-  }
-}
-
-/* solve L*X=B, with B containing 2 right hand sides.
- * L is an n*n lower triangular matrix with ones on the diagonal.
- * L is stored by rows and its leading dimension is lskip.
- * B is an n*2 matrix that contains the right hand sides.
- * B is stored by columns and its leading dimension is also lskip.
- * B is overwritten with X.
- * this processes blocks of 2*2.
- * if this is in the factorizer source file, n must be a multiple of 2.
- */
-
-static void btSolveL1_2 (const btScalar *L, btScalar *B, int n, int lskip1)
-{  
-  /* declare variables - Z matrix, p and q vectors, etc */
-  btScalar Z11,m11,Z12,m12,Z21,m21,Z22,m22,p1,q1,p2,q2,*ex;
-  const btScalar *ell;
-  int i,j;
-  /* compute all 2 x 2 blocks of X */
-  for (i=0; i < n; i+=2) {
-    /* compute all 2 x 2 block of X, from rows i..i+2-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    Z12=0;
-    Z21=0;
-    Z22=0;
-    ell = L + i*lskip1;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-2; j >= 0; j -= 2) {
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[0];
-      q1=ex[0];
-      m11 = p1 * q1;
-      q2=ex[lskip1];
-      m12 = p1 * q2;
-      p2=ell[lskip1];
-      m21 = p2 * q1;
-      m22 = p2 * q2;
-      Z11 += m11;
-      Z12 += m12;
-      Z21 += m21;
-      Z22 += m22;
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[1];
-      q1=ex[1];
-      m11 = p1 * q1;
-      q2=ex[1+lskip1];
-      m12 = p1 * q2;
-      p2=ell[1+lskip1];
-      m21 = p2 * q1;
-      m22 = p2 * q2;
-      /* advance pointers */
-      ell += 2;
-      ex += 2;
-      Z11 += m11;
-      Z12 += m12;
-      Z21 += m21;
-      Z22 += m22;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 2;
-    for (; j > 0; j--) {
-      /* compute outer product and add it to the Z matrix */
-      p1=ell[0];
-      q1=ex[0];
-      m11 = p1 * q1;
-      q2=ex[lskip1];
-      m12 = p1 * q2;
-      p2=ell[lskip1];
-      m21 = p2 * q1;
-      m22 = p2 * q2;
-      /* advance pointers */
-      ell += 1;
-      ex += 1;
-      Z11 += m11;
-      Z12 += m12;
-      Z21 += m21;
-      Z22 += m22;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-    Z12 = ex[lskip1] - Z12;
-    ex[lskip1] = Z12;
-    p1 = ell[lskip1];
-    Z21 = ex[1] - Z21 - p1*Z11;
-    ex[1] = Z21;
-    Z22 = ex[1+lskip1] - Z22 - p1*Z12;
-    ex[1+lskip1] = Z22;
-    /* end of outer loop */
-  }
-}
-
-
-void btFactorLDLT (btScalar *A, btScalar *d, int n, int nskip1)
-{  
-  int i,j;
-  btScalar sum,*ell,*dee,dd,p1,p2,q1,q2,Z11,m11,Z21,m21,Z22,m22;
-  if (n < 1) return;
-  
-  for (i=0; i<=n-2; i += 2) {
-    /* solve L*(D*l)=a, l is scaled elements in 2 x i block at A(i,0) */
-    btSolveL1_2 (A,A+i*nskip1,i,nskip1);
-    /* scale the elements in a 2 x i block at A(i,0), and also */
-    /* compute Z = the outer product matrix that we'll need. */
-    Z11 = 0;
-    Z21 = 0;
-    Z22 = 0;
-    ell = A+i*nskip1;
-    dee = d;
-    for (j=i-6; j >= 0; j -= 6) {
-      p1 = ell[0];
-      p2 = ell[nskip1];
-      dd = dee[0];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[0] = q1;
-      ell[nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      p1 = ell[1];
-      p2 = ell[1+nskip1];
-      dd = dee[1];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[1] = q1;
-      ell[1+nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      p1 = ell[2];
-      p2 = ell[2+nskip1];
-      dd = dee[2];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[2] = q1;
-      ell[2+nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      p1 = ell[3];
-      p2 = ell[3+nskip1];
-      dd = dee[3];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[3] = q1;
-      ell[3+nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      p1 = ell[4];
-      p2 = ell[4+nskip1];
-      dd = dee[4];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[4] = q1;
-      ell[4+nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      p1 = ell[5];
-      p2 = ell[5+nskip1];
-      dd = dee[5];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[5] = q1;
-      ell[5+nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      ell += 6;
-      dee += 6;
-    }
-    /* compute left-over iterations */
-    j += 6;
-    for (; j > 0; j--) {
-      p1 = ell[0];
-      p2 = ell[nskip1];
-      dd = dee[0];
-      q1 = p1*dd;
-      q2 = p2*dd;
-      ell[0] = q1;
-      ell[nskip1] = q2;
-      m11 = p1*q1;
-      m21 = p2*q1;
-      m22 = p2*q2;
-      Z11 += m11;
-      Z21 += m21;
-      Z22 += m22;
-      ell++;
-      dee++;
-    }
-    /* solve for diagonal 2 x 2 block at A(i,i) */
-    Z11 = ell[0] - Z11;
-    Z21 = ell[nskip1] - Z21;
-    Z22 = ell[1+nskip1] - Z22;
-    dee = d + i;
-    /* factorize 2 x 2 block Z,dee */
-    /* factorize row 1 */
-    dee[0] = btRecip(Z11);
-    /* factorize row 2 */
-    sum = 0;
-    q1 = Z21;
-    q2 = q1 * dee[0];
-    Z21 = q2;
-    sum += q1*q2;
-    dee[1] = btRecip(Z22 - sum);
-    /* done factorizing 2 x 2 block */
-    ell[nskip1] = Z21;
-  }
-  /* compute the (less than 2) rows at the bottom */
-  switch (n-i) {
-    case 0:
-    break;
-    
-    case 1:
-    btSolveL1_1 (A,A+i*nskip1,i,nskip1);
-    /* scale the elements in a 1 x i block at A(i,0), and also */
-    /* compute Z = the outer product matrix that we'll need. */
-    Z11 = 0;
-    ell = A+i*nskip1;
-    dee = d;
-    for (j=i-6; j >= 0; j -= 6) {
-      p1 = ell[0];
-      dd = dee[0];
-      q1 = p1*dd;
-      ell[0] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      p1 = ell[1];
-      dd = dee[1];
-      q1 = p1*dd;
-      ell[1] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      p1 = ell[2];
-      dd = dee[2];
-      q1 = p1*dd;
-      ell[2] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      p1 = ell[3];
-      dd = dee[3];
-      q1 = p1*dd;
-      ell[3] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      p1 = ell[4];
-      dd = dee[4];
-      q1 = p1*dd;
-      ell[4] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      p1 = ell[5];
-      dd = dee[5];
-      q1 = p1*dd;
-      ell[5] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      ell += 6;
-      dee += 6;
-    }
-    /* compute left-over iterations */
-    j += 6;
-    for (; j > 0; j--) {
-      p1 = ell[0];
-      dd = dee[0];
-      q1 = p1*dd;
-      ell[0] = q1;
-      m11 = p1*q1;
-      Z11 += m11;
-      ell++;
-      dee++;
-    }
-    /* solve for diagonal 1 x 1 block at A(i,i) */
-    Z11 = ell[0] - Z11;
-    dee = d + i;
-    /* factorize 1 x 1 block Z,dee */
-    /* factorize row 1 */
-    dee[0] = btRecip(Z11);
-    /* done factorizing 1 x 1 block */
-    break;
-    
-    //default: *((char*)0)=0;  /* this should never happen! */
-  }
-}
-
-/* solve L*X=B, with B containing 1 right hand sides.
- * L is an n*n lower triangular matrix with ones on the diagonal.
- * L is stored by rows and its leading dimension is lskip.
- * B is an n*1 matrix that contains the right hand sides.
- * B is stored by columns and its leading dimension is also lskip.
- * B is overwritten with X.
- * this processes blocks of 4*4.
- * if this is in the factorizer source file, n must be a multiple of 4.
- */
-
-void btSolveL1 (const btScalar *L, btScalar *B, int n, int lskip1)
-{  
-  /* declare variables - Z matrix, p and q vectors, etc */
-  btScalar Z11,Z21,Z31,Z41,p1,q1,p2,p3,p4,*ex;
-  const btScalar *ell;
-  int lskip2,lskip3,i,j;
-  /* compute lskip values */
-  lskip2 = 2*lskip1;
-  lskip3 = 3*lskip1;
-  /* compute all 4 x 1 blocks of X */
-  for (i=0; i <= n-4; i+=4) {
-    /* compute all 4 x 1 block of X, from rows i..i+4-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    Z21=0;
-    Z31=0;
-    Z41=0;
-    ell = L + i*lskip1;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-12; j >= 0; j -= 12) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      p2=ell[lskip1];
-      p3=ell[lskip2];
-      p4=ell[lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[1];
-      q1=ex[1];
-      p2=ell[1+lskip1];
-      p3=ell[1+lskip2];
-      p4=ell[1+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[2];
-      q1=ex[2];
-      p2=ell[2+lskip1];
-      p3=ell[2+lskip2];
-      p4=ell[2+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[3];
-      q1=ex[3];
-      p2=ell[3+lskip1];
-      p3=ell[3+lskip2];
-      p4=ell[3+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[4];
-      q1=ex[4];
-      p2=ell[4+lskip1];
-      p3=ell[4+lskip2];
-      p4=ell[4+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[5];
-      q1=ex[5];
-      p2=ell[5+lskip1];
-      p3=ell[5+lskip2];
-      p4=ell[5+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[6];
-      q1=ex[6];
-      p2=ell[6+lskip1];
-      p3=ell[6+lskip2];
-      p4=ell[6+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[7];
-      q1=ex[7];
-      p2=ell[7+lskip1];
-      p3=ell[7+lskip2];
-      p4=ell[7+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[8];
-      q1=ex[8];
-      p2=ell[8+lskip1];
-      p3=ell[8+lskip2];
-      p4=ell[8+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[9];
-      q1=ex[9];
-      p2=ell[9+lskip1];
-      p3=ell[9+lskip2];
-      p4=ell[9+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[10];
-      q1=ex[10];
-      p2=ell[10+lskip1];
-      p3=ell[10+lskip2];
-      p4=ell[10+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* load p and q values */
-      p1=ell[11];
-      q1=ex[11];
-      p2=ell[11+lskip1];
-      p3=ell[11+lskip2];
-      p4=ell[11+lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* advance pointers */
-      ell += 12;
-      ex += 12;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 12;
-    for (; j > 0; j--) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      p2=ell[lskip1];
-      p3=ell[lskip2];
-      p4=ell[lskip3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      Z21 += p2 * q1;
-      Z31 += p3 * q1;
-      Z41 += p4 * q1;
-      /* advance pointers */
-      ell += 1;
-      ex += 1;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-    p1 = ell[lskip1];
-    Z21 = ex[1] - Z21 - p1*Z11;
-    ex[1] = Z21;
-    p1 = ell[lskip2];
-    p2 = ell[1+lskip2];
-    Z31 = ex[2] - Z31 - p1*Z11 - p2*Z21;
-    ex[2] = Z31;
-    p1 = ell[lskip3];
-    p2 = ell[1+lskip3];
-    p3 = ell[2+lskip3];
-    Z41 = ex[3] - Z41 - p1*Z11 - p2*Z21 - p3*Z31;
-    ex[3] = Z41;
-    /* end of outer loop */
-  }
-  /* compute rows at end that are not a multiple of block size */
-  for (; i < n; i++) {
-    /* compute all 1 x 1 block of X, from rows i..i+1-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    ell = L + i*lskip1;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-12; j >= 0; j -= 12) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[1];
-      q1=ex[1];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[2];
-      q1=ex[2];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[3];
-      q1=ex[3];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[4];
-      q1=ex[4];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[5];
-      q1=ex[5];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[6];
-      q1=ex[6];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[7];
-      q1=ex[7];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[8];
-      q1=ex[8];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[9];
-      q1=ex[9];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[10];
-      q1=ex[10];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* load p and q values */
-      p1=ell[11];
-      q1=ex[11];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* advance pointers */
-      ell += 12;
-      ex += 12;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 12;
-    for (; j > 0; j--) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      /* compute outer product and add it to the Z matrix */
-      Z11 += p1 * q1;
-      /* advance pointers */
-      ell += 1;
-      ex += 1;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-  }
-}
-
-/* solve L^T * x=b, with b containing 1 right hand side.
- * L is an n*n lower triangular matrix with ones on the diagonal.
- * L is stored by rows and its leading dimension is lskip.
- * b is an n*1 matrix that contains the right hand side.
- * b is overwritten with x.
- * this processes blocks of 4.
- */
-
-void btSolveL1T (const btScalar *L, btScalar *B, int n, int lskip1)
-{  
-  /* declare variables - Z matrix, p and q vectors, etc */
-  btScalar Z11,m11,Z21,m21,Z31,m31,Z41,m41,p1,q1,p2,p3,p4,*ex;
-  const btScalar *ell;
-  int lskip2,i,j;
-//  int lskip3;
-  /* special handling for L and B because we're solving L1 *transpose* */
-  L = L + (n-1)*(lskip1+1);
-  B = B + n-1;
-  lskip1 = -lskip1;
-  /* compute lskip values */
-  lskip2 = 2*lskip1;
-  //lskip3 = 3*lskip1;
-  /* compute all 4 x 1 blocks of X */
-  for (i=0; i <= n-4; i+=4) {
-    /* compute all 4 x 1 block of X, from rows i..i+4-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    Z21=0;
-    Z31=0;
-    Z41=0;
-    ell = L - i;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-4; j >= 0; j -= 4) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      p2=ell[-1];
-      p3=ell[-2];
-      p4=ell[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      m21 = p2 * q1;
-      m31 = p3 * q1;
-      m41 = p4 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      Z21 += m21;
-      Z31 += m31;
-      Z41 += m41;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-1];
-      p2=ell[-1];
-      p3=ell[-2];
-      p4=ell[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      m21 = p2 * q1;
-      m31 = p3 * q1;
-      m41 = p4 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      Z21 += m21;
-      Z31 += m31;
-      Z41 += m41;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-2];
-      p2=ell[-1];
-      p3=ell[-2];
-      p4=ell[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      m21 = p2 * q1;
-      m31 = p3 * q1;
-      m41 = p4 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      Z21 += m21;
-      Z31 += m31;
-      Z41 += m41;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-3];
-      p2=ell[-1];
-      p3=ell[-2];
-      p4=ell[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      m21 = p2 * q1;
-      m31 = p3 * q1;
-      m41 = p4 * q1;
-      ell += lskip1;
-      ex -= 4;
-      Z11 += m11;
-      Z21 += m21;
-      Z31 += m31;
-      Z41 += m41;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 4;
-    for (; j > 0; j--) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      p2=ell[-1];
-      p3=ell[-2];
-      p4=ell[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      m21 = p2 * q1;
-      m31 = p3 * q1;
-      m41 = p4 * q1;
-      ell += lskip1;
-      ex -= 1;
-      Z11 += m11;
-      Z21 += m21;
-      Z31 += m31;
-      Z41 += m41;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-    p1 = ell[-1];
-    Z21 = ex[-1] - Z21 - p1*Z11;
-    ex[-1] = Z21;
-    p1 = ell[-2];
-    p2 = ell[-2+lskip1];
-    Z31 = ex[-2] - Z31 - p1*Z11 - p2*Z21;
-    ex[-2] = Z31;
-    p1 = ell[-3];
-    p2 = ell[-3+lskip1];
-    p3 = ell[-3+lskip2];
-    Z41 = ex[-3] - Z41 - p1*Z11 - p2*Z21 - p3*Z31;
-    ex[-3] = Z41;
-    /* end of outer loop */
-  }
-  /* compute rows at end that are not a multiple of block size */
-  for (; i < n; i++) {
-    /* compute all 1 x 1 block of X, from rows i..i+1-1 */
-    /* set the Z matrix to 0 */
-    Z11=0;
-    ell = L - i;
-    ex = B;
-    /* the inner loop that computes outer products and adds them to Z */
-    for (j=i-4; j >= 0; j -= 4) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-1];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-2];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      ell += lskip1;
-      Z11 += m11;
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[-3];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      ell += lskip1;
-      ex -= 4;
-      Z11 += m11;
-      /* end of inner loop */
-    }
-    /* compute left-over iterations */
-    j += 4;
-    for (; j > 0; j--) {
-      /* load p and q values */
-      p1=ell[0];
-      q1=ex[0];
-      /* compute outer product and add it to the Z matrix */
-      m11 = p1 * q1;
-      ell += lskip1;
-      ex -= 1;
-      Z11 += m11;
-    }
-    /* finish computing the X(i) block */
-    Z11 = ex[0] - Z11;
-    ex[0] = Z11;
-  }
-}
-
-
-
-void btVectorScale (btScalar *a, const btScalar *d, int n)
-{
-  btAssert (a && d && n >= 0);
-  for (int i=0; i<n; i++) {
-    a[i] *= d[i];
-  }
-}
-
-void btSolveLDLT (const btScalar *L, const btScalar *d, btScalar *b, int n, int nskip)
-{
-  btAssert (L && d && b && n > 0 && nskip >= n);
-  btSolveL1 (L,b,n,nskip);
-  btVectorScale (b,d,n);
-  btSolveL1T (L,b,n,nskip);
-}
-
-
-
-//***************************************************************************
-
-// swap row/column i1 with i2 in the n*n matrix A. the leading dimension of
-// A is nskip. this only references and swaps the lower triangle.
-// if `do_fast_row_swaps' is nonzero and row pointers are being used, then
-// rows will be swapped by exchanging row pointers. otherwise the data will
-// be copied.
-
-static void btSwapRowsAndCols (BTATYPE A, int n, int i1, int i2, int nskip, 
-  int do_fast_row_swaps)
-{
-  btAssert (A && n > 0 && i1 >= 0 && i2 >= 0 && i1 < n && i2 < n &&
-    nskip >= n && i1 < i2);
-
-# ifdef BTROWPTRS
-  btScalar *A_i1 = A[i1];
-  btScalar *A_i2 = A[i2];
-  for (int i=i1+1; i<i2; ++i) {
-    btScalar *A_i_i1 = A[i] + i1;
-    A_i1[i] = *A_i_i1;
-    *A_i_i1 = A_i2[i];
-  }
-  A_i1[i2] = A_i1[i1];
-  A_i1[i1] = A_i2[i1];
-  A_i2[i1] = A_i2[i2];
-  // swap rows, by swapping row pointers
-  if (do_fast_row_swaps) {
-    A[i1] = A_i2;
-    A[i2] = A_i1;
-  }
-  else {
-    // Only swap till i2 column to match A plain storage variant.
-    for (int k = 0; k <= i2; ++k) {
-      btScalar tmp = A_i1[k];
-      A_i1[k] = A_i2[k];
-      A_i2[k] = tmp;
-    }
-  }
-  // swap columns the hard way
-  for (int j=i2+1; j<n; ++j) {
-    btScalar *A_j = A[j];
-    btScalar tmp = A_j[i1];
-    A_j[i1] = A_j[i2];
-    A_j[i2] = tmp;
-  }
-# else
-  btScalar *A_i1 = A+i1*nskip;
-  btScalar *A_i2 = A+i2*nskip;
-  for (int k = 0; k < i1; ++k) {
-    btScalar tmp = A_i1[k];
-    A_i1[k] = A_i2[k];
-    A_i2[k] = tmp;
-  }
-  btScalar *A_i = A_i1 + nskip;
-  for (int i=i1+1; i<i2; A_i+=nskip, ++i) {
-    btScalar tmp = A_i2[i];
-    A_i2[i] = A_i[i1];
-    A_i[i1] = tmp;
-  }
-  {
-    btScalar tmp = A_i1[i1];
-    A_i1[i1] = A_i2[i2];
-    A_i2[i2] = tmp;
-  }
-  btScalar *A_j = A_i2 + nskip;
-  for (int j=i2+1; j<n; A_j+=nskip, ++j) {
-    btScalar tmp = A_j[i1];
-    A_j[i1] = A_j[i2];
-    A_j[i2] = tmp;
-  }
-# endif
-}
-
-
-// swap two indexes in the n*n LCP problem. i1 must be <= i2.
-
-static void btSwapProblem (BTATYPE A, btScalar *x, btScalar *b, btScalar *w, btScalar *lo,
-                         btScalar *hi, int *p, bool *state, int *findex,
-                         int n, int i1, int i2, int nskip,
-                         int do_fast_row_swaps)
-{
-  btScalar tmpr;
-  int tmpi;
-  bool tmpb;
-  btAssert (n>0 && i1 >=0 && i2 >= 0 && i1 < n && i2 < n && nskip >= n && i1 <= i2);
-  if (i1==i2) return;
-  
-  btSwapRowsAndCols (A,n,i1,i2,nskip,do_fast_row_swaps);
-  
-  tmpr = x[i1];
-  x[i1] = x[i2];
-  x[i2] = tmpr;
-  
-  tmpr = b[i1];
-  b[i1] = b[i2];
-  b[i2] = tmpr;
-  
-  tmpr = w[i1];
-  w[i1] = w[i2];
-  w[i2] = tmpr;
-  
-  tmpr = lo[i1];
-  lo[i1] = lo[i2];
-  lo[i2] = tmpr;
-
-  tmpr = hi[i1];
-  hi[i1] = hi[i2];
-  hi[i2] = tmpr;
-
-  tmpi = p[i1];
-  p[i1] = p[i2];
-  p[i2] = tmpi;
-
-  tmpb = state[i1];
-  state[i1] = state[i2];
-  state[i2] = tmpb;
-
-  if (findex) {
-    tmpi = findex[i1];
-    findex[i1] = findex[i2];
-    findex[i2] = tmpi;
-  }
-}
-
-
-
-
-//***************************************************************************
-// btLCP manipulator object. this represents an n*n LCP problem.
-//
-// two index sets C and N are kept. each set holds a subset of
-// the variable indexes 0..n-1. an index can only be in one set.
-// initially both sets are empty.
-//
-// the index set C is special: solutions to A(C,C)\A(C,i) can be generated.
-
-//***************************************************************************
-// fast implementation of btLCP. see the above definition of btLCP for
-// interface comments.
-//
-// `p' records the permutation of A,x,b,w,etc. p is initially 1:n and is
-// permuted as the other vectors/matrices are permuted.
-//
-// A,x,b,w,lo,hi,state,findex,p,c are permuted such that sets C,N have
-// contiguous indexes. the don't-care indexes follow N.
-//
-// an L*D*L' factorization is maintained of A(C,C), and whenever indexes are
-// added or removed from the set C the factorization is updated.
-// thus L*D*L'=A[C,C], i.e. a permuted top left nC*nC submatrix of A.
-// the leading dimension of the matrix L is always `nskip'.
-//
-// at the start there may be other indexes that are unbounded but are not
-// included in `nub'. btLCP will permute the matrix so that absolutely all
-// unbounded vectors are at the start. thus there may be some initial
-// permutation.
-//
-// the algorithms here assume certain patterns, particularly with respect to
-// index transfer.
-
-#ifdef btLCP_FAST
-
-struct btLCP 
-{
-	const int m_n;
-	const int m_nskip;
-	int m_nub;
-	int m_nC, m_nN;				// size of each index set
-	BTATYPE const m_A;				// A rows
-	btScalar *const m_x, * const m_b, *const m_w, *const m_lo,* const m_hi;	// permuted LCP problem data
-	btScalar *const m_L, *const m_d;				// L*D*L' factorization of set C
-	btScalar *const m_Dell, *const m_ell, *const m_tmp;
-	bool *const m_state;
-	int *const m_findex, *const m_p, *const m_C;
-
-	btLCP (int _n, int _nskip, int _nub, btScalar *_Adata, btScalar *_x, btScalar *_b, btScalar *_w,
-		btScalar *_lo, btScalar *_hi, btScalar *l, btScalar *_d,
-		btScalar *_Dell, btScalar *_ell, btScalar *_tmp,
-		bool *_state, int *_findex, int *p, int *c, btScalar **Arows);
-	int getNub() const { return m_nub; }
-	void transfer_i_to_C (int i);
-	void transfer_i_to_N (int i) { m_nN++; }			// because we can assume C and N span 1:i-1
-	void transfer_i_from_N_to_C (int i);
-	void transfer_i_from_C_to_N (int i, btAlignedObjectArray<btScalar>& scratch);
-	int numC() const { return m_nC; }
-	int numN() const { return m_nN; }
-	int indexC (int i) const { return i; }
-	int indexN (int i) const { return i+m_nC; }
-	btScalar Aii (int i) const  { return BTAROW(i)[i]; }
-	btScalar AiC_times_qC (int i, btScalar *q) const { return btLargeDot (BTAROW(i), q, m_nC); }
-	btScalar AiN_times_qN (int i, btScalar *q) const { return btLargeDot (BTAROW(i)+m_nC, q+m_nC, m_nN); }
-	void pN_equals_ANC_times_qC (btScalar *p, btScalar *q);
-	void pN_plusequals_ANi (btScalar *p, int i, int sign=1);
-	void pC_plusequals_s_times_qC (btScalar *p, btScalar s, btScalar *q);
-	void pN_plusequals_s_times_qN (btScalar *p, btScalar s, btScalar *q);
-	void solve1 (btScalar *a, int i, int dir=1, int only_transfer=0);
-	void unpermute();
-};
-
-
-btLCP::btLCP (int _n, int _nskip, int _nub, btScalar *_Adata, btScalar *_x, btScalar *_b, btScalar *_w,
-            btScalar *_lo, btScalar *_hi, btScalar *l, btScalar *_d,
-            btScalar *_Dell, btScalar *_ell, btScalar *_tmp,
-            bool *_state, int *_findex, int *p, int *c, btScalar **Arows):
-  m_n(_n), m_nskip(_nskip), m_nub(_nub), m_nC(0), m_nN(0),
-# ifdef BTROWPTRS
-  m_A(Arows),
-#else
-  m_A(_Adata),
-#endif
-  m_x(_x), m_b(_b), m_w(_w), m_lo(_lo), m_hi(_hi),
-  m_L(l), m_d(_d), m_Dell(_Dell), m_ell(_ell), m_tmp(_tmp),
-  m_state(_state), m_findex(_findex), m_p(p), m_C(c)
-{
-  {
-    btSetZero (m_x,m_n);
-  }
-
-  {
-# ifdef BTROWPTRS
-    // make matrix row pointers
-    btScalar *aptr = _Adata;
-    BTATYPE A = m_A;
-    const int n = m_n, nskip = m_nskip;
-    for (int k=0; k<n; aptr+=nskip, ++k) A[k] = aptr;
-# endif
-  }
-
-  {
-    int *p = m_p;
-    const int n = m_n;
-    for (int k=0; k<n; ++k) p[k]=k;		// initially unpermuted
-  }
-
-  /*
-  // for testing, we can do some random swaps in the area i > nub
-  {
-    const int n = m_n;
-    const int nub = m_nub;
-    if (nub < n) {
-    for (int k=0; k<100; k++) {
-      int i1,i2;
-      do {
-        i1 = dRandInt(n-nub)+nub;
-        i2 = dRandInt(n-nub)+nub;
-      }
-      while (i1 > i2); 
-      //printf ("--> %d %d\n",i1,i2);
-      btSwapProblem (m_A,m_x,m_b,m_w,m_lo,m_hi,m_p,m_state,m_findex,n,i1,i2,m_nskip,0);
-    }
-  }
-  */
-
-  // permute the problem so that *all* the unbounded variables are at the
-  // start, i.e. look for unbounded variables not included in `nub'. we can
-  // potentially push up `nub' this way and get a bigger initial factorization.
-  // note that when we swap rows/cols here we must not just swap row pointers,
-  // as the initial factorization relies on the data being all in one chunk.
-  // variables that have findex >= 0 are *not* considered to be unbounded even
-  // if lo=-inf and hi=inf - this is because these limits may change during the
-  // solution process.
-
-  {
-    int *findex = m_findex;
-    btScalar *lo = m_lo, *hi = m_hi;
-    const int n = m_n;
-    for (int k = m_nub; k<n; ++k) {
-      if (findex && findex[k] >= 0) continue;
-      if (lo[k]==-BT_INFINITY && hi[k]==BT_INFINITY) {
-        btSwapProblem (m_A,m_x,m_b,m_w,lo,hi,m_p,m_state,findex,n,m_nub,k,m_nskip,0);
-        m_nub++;
-      }
-    }
-  }
-
-  // if there are unbounded variables at the start, factorize A up to that
-  // point and solve for x. this puts all indexes 0..nub-1 into C.
-  if (m_nub > 0) {
-    const int nub = m_nub;
-    {
-      btScalar *Lrow = m_L;
-      const int nskip = m_nskip;
-      for (int j=0; j<nub; Lrow+=nskip, ++j) memcpy(Lrow,BTAROW(j),(j+1)*sizeof(btScalar));
-    }
-    btFactorLDLT (m_L,m_d,nub,m_nskip);
-    memcpy (m_x,m_b,nub*sizeof(btScalar));
-    btSolveLDLT (m_L,m_d,m_x,nub,m_nskip);
-    btSetZero (m_w,nub);
-    {
-      int *C = m_C;
-      for (int k=0; k<nub; ++k) C[k] = k;
-    }
-    m_nC = nub;
-  }
-
-  // permute the indexes > nub such that all findex variables are at the end
-  if (m_findex) {
-    const int nub = m_nub;
-    int *findex = m_findex;
-    int num_at_end = 0;
-    for (int k=m_n-1; k >= nub; k--) {
-      if (findex[k] >= 0) {
-        btSwapProblem (m_A,m_x,m_b,m_w,m_lo,m_hi,m_p,m_state,findex,m_n,k,m_n-1-num_at_end,m_nskip,1);
-        num_at_end++;
-      }
-    }
-  }
-
-  // print info about indexes
-  /*
-  {
-    const int n = m_n;
-    const int nub = m_nub;
-    for (int k=0; k<n; k++) {
-      if (k<nub) printf ("C");
-      else if (m_lo[k]==-BT_INFINITY && m_hi[k]==BT_INFINITY) printf ("c");
-      else printf (".");
-    }
-    printf ("\n");
-  }
-  */
-}
-
-
-void btLCP::transfer_i_to_C (int i)
-{
-  {
-    if (m_nC > 0) {
-      // ell,Dell were computed by solve1(). note, ell = D \ L1solve (L,A(i,C))
-      {
-        const int nC = m_nC;
-        btScalar *const Ltgt = m_L + nC*m_nskip, *ell = m_ell;
-        for (int j=0; j<nC; ++j) Ltgt[j] = ell[j];
-      }
-      const int nC = m_nC;
-      m_d[nC] = btRecip (BTAROW(i)[i] - btLargeDot(m_ell,m_Dell,nC));
-    }
-    else {
-      m_d[0] = btRecip (BTAROW(i)[i]);
-    }
-
-    btSwapProblem (m_A,m_x,m_b,m_w,m_lo,m_hi,m_p,m_state,m_findex,m_n,m_nC,i,m_nskip,1);
-
-    const int nC = m_nC;
-    m_C[nC] = nC;
-    m_nC = nC + 1; // nC value is outdated after this line
-  }
-
-}
-
-
-void btLCP::transfer_i_from_N_to_C (int i)
-{
-  {
-    if (m_nC > 0) {
-      {
-        btScalar *const aptr = BTAROW(i);
-        btScalar *Dell = m_Dell;
-        const int *C = m_C;
-#   ifdef BTNUB_OPTIMIZATIONS
-        // if nub>0, initial part of aptr unpermuted
-        const int nub = m_nub;
-        int j=0;
-        for ( ; j<nub; ++j) Dell[j] = aptr[j];
-        const int nC = m_nC;
-        for ( ; j<nC; ++j) Dell[j] = aptr[C[j]];
-#   else
-        const int nC = m_nC;
-        for (int j=0; j<nC; ++j) Dell[j] = aptr[C[j]];
-#   endif
-      }
-      btSolveL1 (m_L,m_Dell,m_nC,m_nskip);
-      {
-        const int nC = m_nC;
-        btScalar *const Ltgt = m_L + nC*m_nskip;
-        btScalar *ell = m_ell, *Dell = m_Dell, *d = m_d;
-        for (int j=0; j<nC; ++j) Ltgt[j] = ell[j] = Dell[j] * d[j];
-      }
-      const int nC = m_nC;
-      m_d[nC] = btRecip (BTAROW(i)[i] - btLargeDot(m_ell,m_Dell,nC));
-    }
-    else {
-      m_d[0] = btRecip (BTAROW(i)[i]);
-    }
-
-    btSwapProblem (m_A,m_x,m_b,m_w,m_lo,m_hi,m_p,m_state,m_findex,m_n,m_nC,i,m_nskip,1);
-
-    const int nC = m_nC;
-    m_C[nC] = nC;
-    m_nN--;
-    m_nC = nC + 1; // nC value is outdated after this line
-  }
-
-  // @@@ TO DO LATER
-  // if we just finish here then we'll go back and re-solve for
-  // delta_x. but actually we can be more efficient and incrementally
-  // update delta_x here. but if we do this, we wont have ell and Dell
-  // to use in updating the factorization later.
-
-}
-
-void btRemoveRowCol (btScalar *A, int n, int nskip, int r)
-{
-  btAssert(A && n > 0 && nskip >= n && r >= 0 && r < n);
-  if (r >= n-1) return;
-  if (r > 0) {
-    {
-      const size_t move_size = (n-r-1)*sizeof(btScalar);
-      btScalar *Adst = A + r;
-      for (int i=0; i<r; Adst+=nskip,++i) {
-        btScalar *Asrc = Adst + 1;
-        memmove (Adst,Asrc,move_size);
-      }
-    }
-    {
-      const size_t cpy_size = r*sizeof(btScalar);
-      btScalar *Adst = A + r * nskip;
-      for (int i=r; i<(n-1); ++i) {
-        btScalar *Asrc = Adst + nskip;
-        memcpy (Adst,Asrc,cpy_size);
-        Adst = Asrc;
-      }
-    }
-  }
-  {
-    const size_t cpy_size = (n-r-1)*sizeof(btScalar);
-    btScalar *Adst = A + r * (nskip + 1);
-    for (int i=r; i<(n-1); ++i) {
-      btScalar *Asrc = Adst + (nskip + 1);
-      memcpy (Adst,Asrc,cpy_size);
-      Adst = Asrc - 1;
-    }
-  }
-}
-
-
-
-
-void btLDLTAddTL (btScalar *L, btScalar *d, const btScalar *a, int n, int nskip, btAlignedObjectArray<btScalar>& scratch)
-{
-  btAssert (L && d && a && n > 0 && nskip >= n);
-
-  if (n < 2) return;
-  scratch.resize(2*nskip);
-  btScalar *W1 = &scratch[0];
-  
-  btScalar *W2 = W1 + nskip;
-
-  W1[0] = btScalar(0.0);
-  W2[0] = btScalar(0.0);
-  for (int j=1; j<n; ++j) {
-    W1[j] = W2[j] = (btScalar) (a[j] * SIMDSQRT12);
-  }
-  btScalar W11 = (btScalar) ((btScalar(0.5)*a[0]+1)*SIMDSQRT12);
-  btScalar W21 = (btScalar) ((btScalar(0.5)*a[0]-1)*SIMDSQRT12);
-
-  btScalar alpha1 = btScalar(1.0);
-  btScalar alpha2 = btScalar(1.0);
-
-  {
-    btScalar dee = d[0];
-    btScalar alphanew = alpha1 + (W11*W11)*dee;
-    btAssert(alphanew != btScalar(0.0));
-    dee /= alphanew;
-    btScalar gamma1 = W11 * dee;
-    dee *= alpha1;
-    alpha1 = alphanew;
-    alphanew = alpha2 - (W21*W21)*dee;
-    dee /= alphanew;
-    //btScalar gamma2 = W21 * dee;
-    alpha2 = alphanew;
-    btScalar k1 = btScalar(1.0) - W21*gamma1;
-    btScalar k2 = W21*gamma1*W11 - W21;
-    btScalar *ll = L + nskip;
-    for (int p=1; p<n; ll+=nskip, ++p) {
-      btScalar Wp = W1[p];
-      btScalar ell = *ll;
-      W1[p] =    Wp - W11*ell;
-      W2[p] = k1*Wp +  k2*ell;
-    }
-  }
-
-  btScalar *ll = L + (nskip + 1);
-  for (int j=1; j<n; ll+=nskip+1, ++j) {
-    btScalar k1 = W1[j];
-    btScalar k2 = W2[j];
-
-    btScalar dee = d[j];
-    btScalar alphanew = alpha1 + (k1*k1)*dee;
-    btAssert(alphanew != btScalar(0.0));
-    dee /= alphanew;
-    btScalar gamma1 = k1 * dee;
-    dee *= alpha1;
-    alpha1 = alphanew;
-    alphanew = alpha2 - (k2*k2)*dee;
-    dee /= alphanew;
-    btScalar gamma2 = k2 * dee;
-    dee *= alpha2;
-    d[j] = dee;
-    alpha2 = alphanew;
-
-    btScalar *l = ll + nskip;
-    for (int p=j+1; p<n; l+=nskip, ++p) {
-      btScalar ell = *l;
-      btScalar Wp = W1[p] - k1 * ell;
-      ell += gamma1 * Wp;
-      W1[p] = Wp;
-      Wp = W2[p] - k2 * ell;
-      ell -= gamma2 * Wp;
-      W2[p] = Wp;
-      *l = ell;
-    }
-  }
-}
-
-
-#define _BTGETA(i,j) (A[i][j])
-//#define _GETA(i,j) (A[(i)*nskip+(j)])
-#define BTGETA(i,j) ((i > j) ? _BTGETA(i,j) : _BTGETA(j,i))
-
-inline size_t btEstimateLDLTAddTLTmpbufSize(int nskip)
-{
-  return nskip * 2 * sizeof(btScalar);
-}
-
-
-void btLDLTRemove (btScalar **A, const int *p, btScalar *L, btScalar *d,
-    int n1, int n2, int r, int nskip, btAlignedObjectArray<btScalar>& scratch)
-{
-  btAssert(A && p && L && d && n1 > 0 && n2 > 0 && r >= 0 && r < n2 &&
-	   n1 >= n2 && nskip >= n1);
-  #ifdef BT_DEBUG
-	for (int i=0; i<n2; ++i) 
-		btAssert(p[i] >= 0 && p[i] < n1);
-  #endif
-
-  if (r==n2-1) {
-    return;		// deleting last row/col is easy
-  }
-  else {
-    size_t LDLTAddTL_size = btEstimateLDLTAddTLTmpbufSize(nskip);
-    btAssert(LDLTAddTL_size % sizeof(btScalar) == 0);
-	scratch.resize(nskip * 2+n2);
-    btScalar *tmp = &scratch[0];
-    if (r==0) {
-      btScalar *a = (btScalar *)((char *)tmp + LDLTAddTL_size);
-      const int p_0 = p[0];
-      for (int i=0; i<n2; ++i) {
-        a[i] = -BTGETA(p[i],p_0);
-      }
-      a[0] += btScalar(1.0);
-      btLDLTAddTL (L,d,a,n2,nskip,scratch);
-    }
-    else {
-      btScalar *t = (btScalar *)((char *)tmp + LDLTAddTL_size);
-      {
-        btScalar *Lcurr = L + r*nskip;
-        for (int i=0; i<r; ++Lcurr, ++i) {
-          btAssert(d[i] != btScalar(0.0));
-          t[i] = *Lcurr / d[i];
-        }
-      }
-      btScalar *a = t + r;
-      {
-        btScalar *Lcurr = L + r*nskip;
-        const int *pp_r = p + r, p_r = *pp_r;
-        const int n2_minus_r = n2-r;
-        for (int i=0; i<n2_minus_r; Lcurr+=nskip,++i) {
-          a[i] = btLargeDot(Lcurr,t,r) - BTGETA(pp_r[i],p_r);
-        }
-      }
-      a[0] += btScalar(1.0);
-      btLDLTAddTL (L + r*nskip+r, d+r, a, n2-r, nskip, scratch);
-    }
-  }
-
-  // snip out row/column r from L and d
-  btRemoveRowCol (L,n2,nskip,r);
-  if (r < (n2-1)) memmove (d+r,d+r+1,(n2-r-1)*sizeof(btScalar));
-}
-
-
-void btLCP::transfer_i_from_C_to_N (int i, btAlignedObjectArray<btScalar>& scratch)
-{
-  {
-    int *C = m_C;
-    // remove a row/column from the factorization, and adjust the
-    // indexes (black magic!)
-    int last_idx = -1;
-    const int nC = m_nC;
-    int j = 0;
-    for ( ; j<nC; ++j) {
-      if (C[j]==nC-1) {
-        last_idx = j;
-      }
-      if (C[j]==i) {
-        btLDLTRemove (m_A,C,m_L,m_d,m_n,nC,j,m_nskip,scratch);
-        int k;
-        if (last_idx == -1) {
-          for (k=j+1 ; k<nC; ++k) {
-            if (C[k]==nC-1) {
-              break;
-            }
-          }
-          btAssert (k < nC);
-        }
-        else {
-          k = last_idx;
-        }
-        C[k] = C[j];
-        if (j < (nC-1)) memmove (C+j,C+j+1,(nC-j-1)*sizeof(int));
-        break;
-      }
-    }
-    btAssert (j < nC);
-
-    btSwapProblem (m_A,m_x,m_b,m_w,m_lo,m_hi,m_p,m_state,m_findex,m_n,i,nC-1,m_nskip,1);
-
-    m_nN++;
-    m_nC = nC - 1; // nC value is outdated after this line
-  }
-
-}
-
-
-void btLCP::pN_equals_ANC_times_qC (btScalar *p, btScalar *q)
-{
-  // we could try to make this matrix-vector multiplication faster using
-  // outer product matrix tricks, e.g. with the dMultidotX() functions.
-  // but i tried it and it actually made things slower on random 100x100
-  // problems because of the overhead involved. so we'll stick with the
-  // simple method for now.
-  const int nC = m_nC;
-  btScalar *ptgt = p + nC;
-  const int nN = m_nN;
-  for (int i=0; i<nN; ++i) {
-    ptgt[i] = btLargeDot (BTAROW(i+nC),q,nC);
-  }
-}
-
-
-void btLCP::pN_plusequals_ANi (btScalar *p, int i, int sign)
-{
-  const int nC = m_nC;
-  btScalar *aptr = BTAROW(i) + nC;
-  btScalar *ptgt = p + nC;
-  if (sign > 0) {
-    const int nN = m_nN;
-    for (int j=0; j<nN; ++j) ptgt[j] += aptr[j];
-  }
-  else {
-    const int nN = m_nN;
-    for (int j=0; j<nN; ++j) ptgt[j] -= aptr[j];
-  }
-}
-
-void btLCP::pC_plusequals_s_times_qC (btScalar *p, btScalar s, btScalar *q)
-{
-  const int nC = m_nC;
-  for (int i=0; i<nC; ++i) {
-    p[i] += s*q[i];
-  }
-}
-
-void btLCP::pN_plusequals_s_times_qN (btScalar *p, btScalar s, btScalar *q)
-{
-  const int nC = m_nC;
-  btScalar *ptgt = p + nC, *qsrc = q + nC;
-  const int nN = m_nN;
-  for (int i=0; i<nN; ++i) {
-    ptgt[i] += s*qsrc[i];
-  }
-}
-
-void btLCP::solve1 (btScalar *a, int i, int dir, int only_transfer)
-{
-  // the `Dell' and `ell' that are computed here are saved. if index i is
-  // later added to the factorization then they can be reused.
-  //
-  // @@@ question: do we need to solve for entire delta_x??? yes, but
-  //     only if an x goes below 0 during the step.
-
-  if (m_nC > 0) {
-    {
-      btScalar *Dell = m_Dell;
-      int *C = m_C;
-      btScalar *aptr = BTAROW(i);
-#   ifdef BTNUB_OPTIMIZATIONS
-      // if nub>0, initial part of aptr[] is guaranteed unpermuted
-      const int nub = m_nub;
-      int j=0;
-      for ( ; j<nub; ++j) Dell[j] = aptr[j];
-      const int nC = m_nC;
-      for ( ; j<nC; ++j) Dell[j] = aptr[C[j]];
-#   else
-      const int nC = m_nC;
-      for (int j=0; j<nC; ++j) Dell[j] = aptr[C[j]];
-#   endif
-    }
-    btSolveL1 (m_L,m_Dell,m_nC,m_nskip);
-    {
-      btScalar *ell = m_ell, *Dell = m_Dell, *d = m_d;
-      const int nC = m_nC;
-      for (int j=0; j<nC; ++j) ell[j] = Dell[j] * d[j];
-    }
-
-    if (!only_transfer) {
-      btScalar *tmp = m_tmp, *ell = m_ell;
-      {
-        const int nC = m_nC;
-        for (int j=0; j<nC; ++j) tmp[j] = ell[j];
-      }
-      btSolveL1T (m_L,tmp,m_nC,m_nskip);
-      if (dir > 0) {
-        int *C = m_C;
-        btScalar *tmp = m_tmp;
-        const int nC = m_nC;
-        for (int j=0; j<nC; ++j) a[C[j]] = -tmp[j];
-      } else {
-        int *C = m_C;
-        btScalar *tmp = m_tmp;
-        const int nC = m_nC;
-        for (int j=0; j<nC; ++j) a[C[j]] = tmp[j];
-      }
-    }
-  }
-}
-
-
-void btLCP::unpermute()
-{
-  // now we have to un-permute x and w
-  {
-    memcpy (m_tmp,m_x,m_n*sizeof(btScalar));
-    btScalar *x = m_x, *tmp = m_tmp;
-    const int *p = m_p;
-    const int n = m_n;
-    for (int j=0; j<n; ++j) x[p[j]] = tmp[j];
-  }
-  {
-    memcpy (m_tmp,m_w,m_n*sizeof(btScalar));
-    btScalar *w = m_w, *tmp = m_tmp;
-    const int *p = m_p;
-    const int n = m_n;
-    for (int j=0; j<n; ++j) w[p[j]] = tmp[j];
-  }
-}
-
-#endif // btLCP_FAST
-
-
-//***************************************************************************
-// an optimized Dantzig LCP driver routine for the lo-hi LCP problem.
-
-bool btSolveDantzigLCP (int n, btScalar *A, btScalar *x, btScalar *b,
-                btScalar* outer_w, int nub, btScalar *lo, btScalar *hi, int *findex, btDantzigScratchMemory& scratchMem)
-{
-	s_error = false;
-
-//	printf("btSolveDantzigLCP n=%d\n",n);
-  btAssert (n>0 && A && x && b && lo && hi && nub >= 0 && nub <= n);
-  btAssert(outer_w);
-
-#ifdef BT_DEBUG
-  {
-    // check restrictions on lo and hi
-    for (int k=0; k<n; ++k) 
-		btAssert (lo[k] <= 0 && hi[k] >= 0);
-  }
-# endif
-
-
-  // if all the variables are unbounded then we can just factor, solve,
-  // and return
-  if (nub >= n) 
-  {
-   
-
-    int nskip = (n);
-    btFactorLDLT (A, outer_w, n, nskip);
-    btSolveLDLT (A, outer_w, b, n, nskip);
-    memcpy (x, b, n*sizeof(btScalar));
-
-    return !s_error;
-  }
-
-  const int nskip = (n);
-  scratchMem.L.resize(n*nskip);
-
-  scratchMem.d.resize(n);
-
-  btScalar *w = outer_w;
-  scratchMem.delta_w.resize(n);
-  scratchMem.delta_x.resize(n);
-  scratchMem.Dell.resize(n);
-  scratchMem.ell.resize(n);
-  scratchMem.Arows.resize(n);
-  scratchMem.p.resize(n);
-  scratchMem.C.resize(n);
-
-  // for i in N, state[i] is 0 if x(i)==lo(i) or 1 if x(i)==hi(i)
-  scratchMem.state.resize(n);
-
-
-  // create LCP object. note that tmp is set to delta_w to save space, this
-  // optimization relies on knowledge of how tmp is used, so be careful!
-  btLCP lcp(n,nskip,nub,A,x,b,w,lo,hi,&scratchMem.L[0],&scratchMem.d[0],&scratchMem.Dell[0],&scratchMem.ell[0],&scratchMem.delta_w[0],&scratchMem.state[0],findex,&scratchMem.p[0],&scratchMem.C[0],&scratchMem.Arows[0]);
-  int adj_nub = lcp.getNub();
-
-  // loop over all indexes adj_nub..n-1. for index i, if x(i),w(i) satisfy the
-  // LCP conditions then i is added to the appropriate index set. otherwise
-  // x(i),w(i) is driven either +ve or -ve to force it to the valid region.
-  // as we drive x(i), x(C) is also adjusted to keep w(C) at zero.
-  // while driving x(i) we maintain the LCP conditions on the other variables
-  // 0..i-1. we do this by watching out for other x(i),w(i) values going
-  // outside the valid region, and then switching them between index sets
-  // when that happens.
-
-  bool hit_first_friction_index = false;
-  for (int i=adj_nub; i<n; ++i) 
-  {
-    s_error = false;
-    // the index i is the driving index and indexes i+1..n-1 are "dont care",
-    // i.e. when we make changes to the system those x's will be zero and we
-    // don't care what happens to those w's. in other words, we only consider
-    // an (i+1)*(i+1) sub-problem of A*x=b+w.
-
-    // if we've hit the first friction index, we have to compute the lo and
-    // hi values based on the values of x already computed. we have been
-    // permuting the indexes, so the values stored in the findex vector are
-    // no longer valid. thus we have to temporarily unpermute the x vector. 
-    // for the purposes of this computation, 0*infinity = 0 ... so if the
-    // contact constraint's normal force is 0, there should be no tangential
-    // force applied.
-
-    if (!hit_first_friction_index && findex && findex[i] >= 0) {
-      // un-permute x into delta_w, which is not being used at the moment
-      for (int j=0; j<n; ++j) scratchMem.delta_w[scratchMem.p[j]] = x[j];
-
-      // set lo and hi values
-      for (int k=i; k<n; ++k) {
-        btScalar wfk = scratchMem.delta_w[findex[k]];
-        if (wfk == 0) {
-          hi[k] = 0;
-          lo[k] = 0;
-        }
-        else {
-          hi[k] = btFabs (hi[k] * wfk);
-          lo[k] = -hi[k];
-        }
-      }
-      hit_first_friction_index = true;
-    }
-
-    // thus far we have not even been computing the w values for indexes
-    // greater than i, so compute w[i] now.
-    w[i] = lcp.AiC_times_qC (i,x) + lcp.AiN_times_qN (i,x) - b[i];
-
-    // if lo=hi=0 (which can happen for tangential friction when normals are
-    // 0) then the index will be assigned to set N with some state. however,
-    // set C's line has zero size, so the index will always remain in set N.
-    // with the "normal" switching logic, if w changed sign then the index
-    // would have to switch to set C and then back to set N with an inverted
-    // state. this is pointless, and also computationally expensive. to
-    // prevent this from happening, we use the rule that indexes with lo=hi=0
-    // will never be checked for set changes. this means that the state for
-    // these indexes may be incorrect, but that doesn't matter.
-
-    // see if x(i),w(i) is in a valid region
-    if (lo[i]==0 && w[i] >= 0) {
-      lcp.transfer_i_to_N (i);
-      scratchMem.state[i] = false;
-    }
-    else if (hi[i]==0 && w[i] <= 0) {
-      lcp.transfer_i_to_N (i);
-      scratchMem.state[i] = true;
-    }
-    else if (w[i]==0) {
-      // this is a degenerate case. by the time we get to this test we know
-      // that lo != 0, which means that lo < 0 as lo is not allowed to be +ve,
-      // and similarly that hi > 0. this means that the line segment
-      // corresponding to set C is at least finite in extent, and we are on it.
-      // NOTE: we must call lcp.solve1() before lcp.transfer_i_to_C()
-      lcp.solve1 (&scratchMem.delta_x[0],i,0,1);
-
-      lcp.transfer_i_to_C (i);
-    }
-    else {
-      // we must push x(i) and w(i)
-      for (;;) {
-        int dir;
-        btScalar dirf;
-        // find direction to push on x(i)
-        if (w[i] <= 0) {
-          dir = 1;
-          dirf = btScalar(1.0);
-        }
-        else {
-          dir = -1;
-          dirf = btScalar(-1.0);
-        }
-
-        // compute: delta_x(C) = -dir*A(C,C)\A(C,i)
-        lcp.solve1 (&scratchMem.delta_x[0],i,dir);
-
-        // note that delta_x[i] = dirf, but we wont bother to set it
-
-        // compute: delta_w = A*delta_x ... note we only care about
-        // delta_w(N) and delta_w(i), the rest is ignored
-        lcp.pN_equals_ANC_times_qC (&scratchMem.delta_w[0],&scratchMem.delta_x[0]);
-        lcp.pN_plusequals_ANi (&scratchMem.delta_w[0],i,dir);
-        scratchMem.delta_w[i] = lcp.AiC_times_qC (i,&scratchMem.delta_x[0]) + lcp.Aii(i)*dirf;
-
-        // find largest step we can take (size=s), either to drive x(i),w(i)
-        // to the valid LCP region or to drive an already-valid variable
-        // outside the valid region.
-
-        int cmd = 1;		// index switching command
-        int si = 0;		// si = index to switch if cmd>3
-        btScalar s = -w[i]/scratchMem.delta_w[i];
-        if (dir > 0) {
-          if (hi[i] < BT_INFINITY) {
-            btScalar s2 = (hi[i]-x[i])*dirf;	// was (hi[i]-x[i])/dirf	// step to x(i)=hi(i)
-            if (s2 < s) {
-              s = s2;
-              cmd = 3;
-            }
-          }
-        }
-        else {
-          if (lo[i] > -BT_INFINITY) {
-            btScalar s2 = (lo[i]-x[i])*dirf;	// was (lo[i]-x[i])/dirf	// step to x(i)=lo(i)
-            if (s2 < s) {
-              s = s2;
-              cmd = 2;
-            }
-          }
-        }
-
-        {
-          const int numN = lcp.numN();
-          for (int k=0; k < numN; ++k) {
-            const int indexN_k = lcp.indexN(k);
-            if (!scratchMem.state[indexN_k] ? scratchMem.delta_w[indexN_k] < 0 : scratchMem.delta_w[indexN_k] > 0) {
-                // don't bother checking if lo=hi=0
-                if (lo[indexN_k] == 0 && hi[indexN_k] == 0) continue;
-                btScalar s2 = -w[indexN_k] / scratchMem.delta_w[indexN_k];
-                if (s2 < s) {
-                  s = s2;
-                  cmd = 4;
-                  si = indexN_k;
-                }
-            }
-          }
-        }
-
-        {
-          const int numC = lcp.numC();
-          for (int k=adj_nub; k < numC; ++k) {
-            const int indexC_k = lcp.indexC(k);
-            if (scratchMem.delta_x[indexC_k] < 0 && lo[indexC_k] > -BT_INFINITY) {
-              btScalar s2 = (lo[indexC_k]-x[indexC_k]) / scratchMem.delta_x[indexC_k];
-              if (s2 < s) {
-                s = s2;
-                cmd = 5;
-                si = indexC_k;
-              }
-            }
-            if (scratchMem.delta_x[indexC_k] > 0 && hi[indexC_k] < BT_INFINITY) {
-              btScalar s2 = (hi[indexC_k]-x[indexC_k]) / scratchMem.delta_x[indexC_k];
-              if (s2 < s) {
-                s = s2;
-                cmd = 6;
-                si = indexC_k;
-              }
-            }
-          }
-        }
-
-        //static char* cmdstring[8] = {0,"->C","->NL","->NH","N->C",
-        //			     "C->NL","C->NH"};
-        //printf ("cmd=%d (%s), si=%d\n",cmd,cmdstring[cmd],(cmd>3) ? si : i);
-
-        // if s <= 0 then we've got a problem. if we just keep going then
-        // we're going to get stuck in an infinite loop. instead, just cross
-        // our fingers and exit with the current solution.
-        if (s <= btScalar(0.0)) 
-		{
-//          printf("LCP internal error, s <= 0 (s=%.4e)",(double)s);
-          if (i < n) {
-            btSetZero (x+i,n-i);
-            btSetZero (w+i,n-i);
-          }
-          s_error = true;
-          break;
-        }
-
-        // apply x = x + s * delta_x
-        lcp.pC_plusequals_s_times_qC (x, s, &scratchMem.delta_x[0]);
-        x[i] += s * dirf;
-
-        // apply w = w + s * delta_w
-        lcp.pN_plusequals_s_times_qN (w, s, &scratchMem.delta_w[0]);
-        w[i] += s * scratchMem.delta_w[i];
-
-//        void *tmpbuf;
-        // switch indexes between sets if necessary
-        switch (cmd) {
-        case 1:		// done
-          w[i] = 0;
-          lcp.transfer_i_to_C (i);
-          break;
-        case 2:		// done
-          x[i] = lo[i];
-          scratchMem.state[i] = false;
-          lcp.transfer_i_to_N (i);
-          break;
-        case 3:		// done
-          x[i] = hi[i];
-          scratchMem.state[i] = true;
-          lcp.transfer_i_to_N (i);
-          break;
-        case 4:		// keep going
-          w[si] = 0;
-          lcp.transfer_i_from_N_to_C (si);
-          break;
-        case 5:		// keep going
-          x[si] = lo[si];
-          scratchMem.state[si] = false;
-		  lcp.transfer_i_from_C_to_N (si, scratchMem.m_scratch);
-          break;
-        case 6:		// keep going
-          x[si] = hi[si];
-          scratchMem.state[si] = true;
-          lcp.transfer_i_from_C_to_N (si, scratchMem.m_scratch);
-          break;
-        }
-
-        if (cmd <= 3) break;
-      } // for (;;)
-    } // else
-
-    if (s_error) 
-	{
-      break;
-    }
-  } // for (int i=adj_nub; i<n; ++i)
-
-  lcp.unpermute();
-
-
-  return !s_error;
-}
-
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.h
deleted file mode 100644
index 903832770a..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigLCP.h
+++ /dev/null
@@ -1,77 +0,0 @@
-/*************************************************************************
- *                                                                       *
- * Open Dynamics Engine, Copyright (C) 2001,2002 Russell L. Smith.       *
- * All rights reserved.  Email: russ@q12.org   Web: www.q12.org          *
- *                                                                       *
- * This library is free software; you can redistribute it and/or         *
- * modify it under the terms of                                          * 
- *   The BSD-style license that is included with this library in         *
- *   the file LICENSE-BSD.TXT.                                           *
- *                                                                       *
- * This library is distributed in the hope that it will be useful,       *
- * but WITHOUT ANY WARRANTY; without even the implied warranty of        *
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the files    *
- * LICENSE.TXT and LICENSE-BSD.TXT for more details.                     *
- *                                                                       *
- *************************************************************************/
-
-/*
-
-given (A,b,lo,hi), solve the LCP problem: A*x = b+w, where each x(i),w(i)
-satisfies one of
-	(1) x = lo, w >= 0
-	(2) x = hi, w <= 0
-	(3) lo < x < hi, w = 0
-A is a matrix of dimension n*n, everything else is a vector of size n*1.
-lo and hi can be +/- dInfinity as needed. the first `nub' variables are
-unbounded, i.e. hi and lo are assumed to be +/- dInfinity.
-
-we restrict lo(i) <= 0 and hi(i) >= 0.
-
-the original data (A,b) may be modified by this function.
-
-if the `findex' (friction index) parameter is nonzero, it points to an array
-of index values. in this case constraints that have findex[i] >= 0 are
-special. all non-special constraints are solved for, then the lo and hi values
-for the special constraints are set:
-  hi[i] = abs( hi[i] * x[findex[i]] )
-  lo[i] = -hi[i]
-and the solution continues. this mechanism allows a friction approximation
-to be implemented. the first `nub' variables are assumed to have findex < 0.
-
-*/
-
-
-#ifndef _BT_LCP_H_
-#define _BT_LCP_H_
-
-#include <stdlib.h>
-#include <stdio.h>
-#include <assert.h>
-
-
-#include "LinearMath/btScalar.h"
-#include "LinearMath/btAlignedObjectArray.h"
-
-struct btDantzigScratchMemory
-{
-	btAlignedObjectArray<btScalar> m_scratch;
-	btAlignedObjectArray<btScalar> L;
-	btAlignedObjectArray<btScalar> d;
-	btAlignedObjectArray<btScalar> delta_w;
-	btAlignedObjectArray<btScalar> delta_x;
-	btAlignedObjectArray<btScalar> Dell;
-	btAlignedObjectArray<btScalar> ell;
-	btAlignedObjectArray<btScalar*> Arows;
-	btAlignedObjectArray<int> p;
-	btAlignedObjectArray<int> C;
-	btAlignedObjectArray<bool> state;
-};
-
-//return false if solving failed
-bool btSolveDantzigLCP (int n, btScalar *A, btScalar *x, btScalar *b, btScalar *w,
-	int nub, btScalar *lo, btScalar *hi, int *findex,btDantzigScratchMemory& scratch);
-
-
-
-#endif //_BT_LCP_H_
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigSolver.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigSolver.h
deleted file mode 100644
index 2a2f2d3d32..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btDantzigSolver.h
+++ /dev/null
@@ -1,112 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#ifndef BT_DANTZIG_SOLVER_H
-#define BT_DANTZIG_SOLVER_H
-
-#include "btMLCPSolverInterface.h"
-#include "btDantzigLCP.h"
-
-
-class btDantzigSolver : public btMLCPSolverInterface
-{
-protected:
-
-	btScalar m_acceptableUpperLimitSolution;
-
-	btAlignedObjectArray<char>	m_tempBuffer;
-
-	btAlignedObjectArray<btScalar> m_A;
-	btAlignedObjectArray<btScalar> m_b;
-	btAlignedObjectArray<btScalar> m_x;
-	btAlignedObjectArray<btScalar> m_lo;
-	btAlignedObjectArray<btScalar> m_hi;
-	btAlignedObjectArray<int>	m_dependencies;
-	btDantzigScratchMemory m_scratchMemory;
-public:
-
-	btDantzigSolver()
-		:m_acceptableUpperLimitSolution(btScalar(1000))
-	{
-	}
-
-	virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)
-	{
-		bool result = true;
-		int n = b.rows();
-		if (n)
-		{
-			int nub = 0;
-			btAlignedObjectArray<btScalar> ww;
-			ww.resize(n);
-	
-
-			const btScalar* Aptr = A.getBufferPointer();
-			m_A.resize(n*n);
-			for (int i=0;i<n*n;i++)
-			{
-				m_A[i] = Aptr[i];
-
-			}
-
-			m_b.resize(n);
-			m_x.resize(n);
-			m_lo.resize(n);
-			m_hi.resize(n);
-			m_dependencies.resize(n);
-			for (int i=0;i<n;i++)
-			{
-				m_lo[i] = lo[i];
-				m_hi[i] = hi[i];
-				m_b[i] = b[i];
-				m_x[i] = x[i];
-				m_dependencies[i] = limitDependency[i];
-			}
-
-
-			result = btSolveDantzigLCP (n,&m_A[0],&m_x[0],&m_b[0],&ww[0],nub,&m_lo[0],&m_hi[0],&m_dependencies[0],m_scratchMemory);
-			if (!result)
-				return result;
-
-//			printf("numAllocas = %d\n",numAllocas);
-			for (int i=0;i<n;i++)
-			{
-				volatile btScalar xx = m_x[i];
-				if (xx != m_x[i])
-					return false;
-				if (x[i] >= m_acceptableUpperLimitSolution)
-				{
-					return false;
-				}
-
-				if (x[i] <= -m_acceptableUpperLimitSolution)
-				{
-					return false;
-				}
-			}
-
-			for (int i=0;i<n;i++)
-			{
-				x[i] = m_x[i];
-			}
-			
-		}
-
-		return result;
-	}
-};
-
-#endif //BT_DANTZIG_SOLVER_H
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.cpp b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.cpp
deleted file mode 100644
index 1f4015c7c7..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.cpp
+++ /dev/null
@@ -1,371 +0,0 @@
-/* Copyright (C) 2004-2013 MBSim Development Team
-
-Code was converted for the Bullet Continuous Collision Detection and Physics Library
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-
-//The original version is here
-//https://code.google.com/p/mbsim-env/source/browse/trunk/kernel/mbsim/numerics/linear_complementarity_problem/lemke_algorithm.cc
-//This file is re-distributed under the ZLib license, with permission of the original author
-//Math library was replaced from fmatvec to a the file src/LinearMath/btMatrixX.h
-//STL/std::vector replaced by btAlignedObjectArray
-
-
-
-#include "btLemkeAlgorithm.h"
-
-#undef BT_DEBUG_OSTREAM
-#ifdef BT_DEBUG_OSTREAM
-using namespace std;
-#endif //BT_DEBUG_OSTREAM
-
-btScalar btMachEps()
-{
-	static bool calculated=false;
-	static btScalar machEps = btScalar(1.);
-	if (!calculated)
-	{
-		do {
-			machEps /= btScalar(2.0);
-			// If next epsilon yields 1, then break, because current
-			// epsilon is the machine epsilon.
-		}
-		while ((btScalar)(1.0 + (machEps/btScalar(2.0))) != btScalar(1.0));
-//		printf( "\nCalculated Machine epsilon: %G\n", machEps );
-		calculated=true;
-	}
-	return machEps;
-}
-
-btScalar btEpsRoot() {
-	
-	static btScalar epsroot = 0.;
-	static bool alreadyCalculated = false;
-	
-	if (!alreadyCalculated) {
-		epsroot = btSqrt(btMachEps());
-		alreadyCalculated = true;
-	}
-	return epsroot;
-}
-
-	 
-
-  btVectorXu btLemkeAlgorithm::solve(unsigned int maxloops /* = 0*/)
-{
-  
-    
-    steps = 0;
-
-    int dim = m_q.size();
-#ifdef BT_DEBUG_OSTREAM
-    if(DEBUGLEVEL >= 1) {
-      cout << "Dimension = " << dim << endl;
-    }
-#endif //BT_DEBUG_OSTREAM
-
-	btVectorXu solutionVector(2 * dim);
-	solutionVector.setZero();
-	  
-	  //, INIT, 0.);
-
-	btMatrixXu ident(dim, dim);
-	ident.setIdentity();
-#ifdef BT_DEBUG_OSTREAM
-	cout << m_M << std::endl;
-#endif
-
-	btMatrixXu mNeg = m_M.negative();
-	  
-    btMatrixXu A(dim, 2 * dim + 2);
-	//
-	A.setSubMatrix(0, 0, dim - 1, dim - 1,ident);
-	A.setSubMatrix(0, dim, dim - 1, 2 * dim - 1,mNeg);
-	A.setSubMatrix(0, 2 * dim, dim - 1, 2 * dim, -1.f);
-	A.setSubMatrix(0, 2 * dim + 1, dim - 1, 2 * dim + 1,m_q);
-
-#ifdef BT_DEBUG_OSTREAM
-	cout << A << std::endl;
-#endif //BT_DEBUG_OSTREAM
-
-
- //   btVectorXu q_;
- //   q_ >> A(0, 2 * dim + 1, dim - 1, 2 * dim + 1);
-
-    btAlignedObjectArray<int> basis;
-    //At first, all w-values are in the basis
-    for (int i = 0; i < dim; i++)
-      basis.push_back(i);
-
-	int pivotRowIndex = -1;
-	btScalar minValue = 1e30f;
-	bool greaterZero = true;
-	for (int i=0;i<dim;i++)
-	{
-		btScalar v =A(i,2*dim+1);
-		if (v<minValue)
-		{
-			minValue=v;
-			pivotRowIndex = i;
-		}
-		if (v<0)
-			greaterZero = false;
-	}
-	
-
-	
-  //  int pivotRowIndex = q_.minIndex();//minIndex(q_);     // first row is that with lowest q-value
-    int z0Row = pivotRowIndex;           // remember the col of z0 for ending algorithm afterwards
-    int pivotColIndex = 2 * dim;         // first col is that of z0
-
-#ifdef BT_DEBUG_OSTREAM
-    if (DEBUGLEVEL >= 3)
-	{
-    //  cout << "A: " << A << endl;
-      cout << "pivotRowIndex " << pivotRowIndex << endl;
-      cout << "pivotColIndex " << pivotColIndex << endl;
-      cout << "Basis: ";
-      for (int i = 0; i < basis.size(); i++)
-        cout << basis[i] << " ";
-      cout << endl;
-    }
-#endif //BT_DEBUG_OSTREAM
-
-	if (!greaterZero)
-	{
-
-      if (maxloops == 0) {
-		  maxloops = 100;
-//        maxloops = UINT_MAX; //TODO: not a really nice way, problem is: maxloops should be 2^dim (=1<<dim), but this could exceed UINT_MAX and thus the result would be 0 and therefore the lemke algorithm wouldn't start but probably would find a solution within less then UINT_MAX steps. Therefore this constant is used as a upper border right now...
-      }
-
-      /*start looping*/
-      for(steps = 0; steps < maxloops; steps++) {
-
-        GaussJordanEliminationStep(A, pivotRowIndex, pivotColIndex, basis);
-#ifdef BT_DEBUG_OSTREAM
-        if (DEBUGLEVEL >= 3) {
-        //  cout << "A: " << A << endl;
-          cout << "pivotRowIndex " << pivotRowIndex << endl;
-          cout << "pivotColIndex " << pivotColIndex << endl;
-          cout << "Basis: ";
-          for (int i = 0; i < basis.size(); i++)
-            cout << basis[i] << " ";
-          cout << endl;
-        }
-#endif //BT_DEBUG_OSTREAM
-
-        int pivotColIndexOld = pivotColIndex;
-
-        /*find new column index */
-        if (basis[pivotRowIndex] < dim) //if a w-value left the basis get in the correspondent z-value
-          pivotColIndex = basis[pivotRowIndex] + dim;
-        else
-          //else do it the other way round and get in the corresponding w-value
-          pivotColIndex = basis[pivotRowIndex] - dim;
-
-        /*the column becomes part of the basis*/
-        basis[pivotRowIndex] = pivotColIndexOld;
-
-        pivotRowIndex = findLexicographicMinimum(A, pivotColIndex);
-
-        if(z0Row == pivotRowIndex) { //if z0 leaves the basis the solution is found --> one last elimination step is necessary
-          GaussJordanEliminationStep(A, pivotRowIndex, pivotColIndex, basis);
-          basis[pivotRowIndex] = pivotColIndex; //update basis
-          break;
-      }
-
-      }
-#ifdef BT_DEBUG_OSTREAM
-      if(DEBUGLEVEL >= 1) {
-        cout << "Number of loops: " << steps << endl;
-        cout << "Number of maximal loops: " << maxloops << endl;
-      }
-#endif //BT_DEBUG_OSTREAM
-
-      if(!validBasis(basis)) {
-        info = -1;
-#ifdef BT_DEBUG_OSTREAM
-        if(DEBUGLEVEL >= 1)
-          cerr << "Lemke-Algorithm ended with Ray-Termination (no valid solution)." << endl;
-#endif //BT_DEBUG_OSTREAM
-
-        return solutionVector;
-      }
-
-    }
-#ifdef BT_DEBUG_OSTREAM
-    if (DEBUGLEVEL >= 2) {
-     // cout << "A: " << A << endl;
-      cout << "pivotRowIndex " << pivotRowIndex << endl;
-      cout << "pivotColIndex " << pivotColIndex << endl;
-    }
-#endif //BT_DEBUG_OSTREAM
-
-    for (int i = 0; i < basis.size(); i++)
-	{
-      solutionVector[basis[i]] = A(i,2*dim+1);//q_[i];
-	}
-
-    info = 0;
-
-    return solutionVector;
-  }
-
-  int btLemkeAlgorithm::findLexicographicMinimum(const btMatrixXu& A, const int & pivotColIndex) {
-	  int RowIndex = 0;
-	  int dim = A.rows();
-	  btAlignedObjectArray<btVectorXu> Rows;
-	  for (int row = 0; row < dim; row++) 
-	  {
-
-		  btVectorXu vec(dim + 1);
-		  vec.setZero();//, INIT, 0.)
-		  Rows.push_back(vec);
-		  btScalar a = A(row, pivotColIndex);
-		  if (a > 0) {
-			  Rows[row][0] = A(row, 2 * dim + 1) / a;
-			  Rows[row][1] = A(row, 2 * dim) / a;
-			  for (int j = 2; j < dim + 1; j++)
-				  Rows[row][j] = A(row, j - 1) / a;
-
-#ifdef BT_DEBUG_OSTREAM
-		//		if (DEBUGLEVEL) {
-			//	  cout << "Rows(" << row << ") = " << Rows[row] << endl;
-				// }
-#endif 
-		  }
-	  }
-
-	  for (int i = 0; i < Rows.size(); i++) 
-	  {
-		  if (Rows[i].nrm2() > 0.) {
-
-			  int j = 0;
-			  for (; j < Rows.size(); j++) 
-			  {
-				  if(i != j)
-				  {
-					  if(Rows[j].nrm2() > 0.)
-					  {
-						  btVectorXu test(dim + 1);
-						  for (int ii=0;ii<dim+1;ii++)
-						  {
-							  test[ii] = Rows[j][ii] - Rows[i][ii];
-						  }
-
-						  //=Rows[j] - Rows[i]
-						  if (! LexicographicPositive(test))
-							  break;
-					  }
-				  }
-			  }
-
-			  if (j == Rows.size()) 
-			  {
-				  RowIndex += i;
-				  break;
-			  }
-		  }
-	  }
-
-	  return RowIndex;
-  }
-
-  bool btLemkeAlgorithm::LexicographicPositive(const btVectorXu & v)
-{
-    int i = 0;
-  //  if (DEBUGLEVEL)
-    //  cout << "v " << v << endl;
-
-    while(i < v.size()-1 && fabs(v[i]) < btMachEps())
-      i++;
-    if (v[i] > 0)
-      return true;
-
-    return false;
-  }
-
-void btLemkeAlgorithm::GaussJordanEliminationStep(btMatrixXu& A, int pivotRowIndex, int pivotColumnIndex, const btAlignedObjectArray<int>& basis) 
-{
-
-	btScalar a = -1 / A(pivotRowIndex, pivotColumnIndex);
-#ifdef BT_DEBUG_OSTREAM
-	cout << A << std::endl;
-#endif
-
-    for (int i = 0; i < A.rows(); i++)
-	{
-      if (i != pivotRowIndex)
-	  {
-        for (int j = 0; j < A.cols(); j++)
-		{
-          if (j != pivotColumnIndex)
-		  {
-			  btScalar v = A(i, j);
-			  v += A(pivotRowIndex, j) * A(i, pivotColumnIndex) * a;
-            A.setElem(i, j, v);
-		  }
-		}
-	  }
-	}
-
-#ifdef BT_DEBUG_OSTREAM
-	cout << A << std::endl;
-#endif //BT_DEBUG_OSTREAM
-    for (int i = 0; i < A.cols(); i++) 
-	{
-      A.mulElem(pivotRowIndex, i,-a);
-    }
-#ifdef BT_DEBUG_OSTREAM
-	cout << A << std::endl;
-#endif //#ifdef BT_DEBUG_OSTREAM
-
-    for (int i = 0; i < A.rows(); i++)
-	{
-      if (i != pivotRowIndex)
-	  {
-        A.setElem(i, pivotColumnIndex,0);
-	  }
-	}
-#ifdef BT_DEBUG_OSTREAM
-	cout << A << std::endl;
-#endif //#ifdef BT_DEBUG_OSTREAM
-  }
-
-  bool btLemkeAlgorithm::greaterZero(const btVectorXu & vector)
-{
-    bool isGreater = true;
-    for (int i = 0; i < vector.size(); i++) {
-      if (vector[i] < 0) {
-        isGreater = false;
-        break;
-      }
-    }
-
-    return isGreater;
-  }
-
-  bool btLemkeAlgorithm::validBasis(const btAlignedObjectArray<int>& basis) 
-  {
-    bool isValid = true;
-    for (int i = 0; i < basis.size(); i++) {
-      if (basis[i] >= basis.size() * 2) { //then z0 is in the base
-        isValid = false;
-        break;
-      }
-    }
-
-    return isValid;
-  }
-
-
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.h
deleted file mode 100644
index 7555cd9d20..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeAlgorithm.h
+++ /dev/null
@@ -1,108 +0,0 @@
-/* Copyright (C) 2004-2013 MBSim Development Team
-
-Code was converted for the Bullet Continuous Collision Detection and Physics Library
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-
-//The original version is here
-//https://code.google.com/p/mbsim-env/source/browse/trunk/kernel/mbsim/numerics/linear_complementarity_problem/lemke_algorithm.cc
-//This file is re-distributed under the ZLib license, with permission of the original author (Kilian Grundl)
-//Math library was replaced from fmatvec to a the file src/LinearMath/btMatrixX.h
-//STL/std::vector replaced by btAlignedObjectArray
-
-
-
-#ifndef BT_NUMERICS_LEMKE_ALGORITHM_H_
-#define BT_NUMERICS_LEMKE_ALGORITHM_H_
-
-#include "LinearMath/btMatrixX.h"
-
-
-#include <vector> //todo: replace by btAlignedObjectArray
-
-class btLemkeAlgorithm
-{
-public:
- 
-
-  btLemkeAlgorithm(const btMatrixXu& M_, const btVectorXu& q_, const int & DEBUGLEVEL_ = 0) :
-	  DEBUGLEVEL(DEBUGLEVEL_)
-  {
-	setSystem(M_, q_);
-  }
-
-  /* GETTER / SETTER */
-  /**
-   * \brief return info of solution process
-   */
-  int getInfo() {
-	return info;
-  }
-
-  /**
-   * \brief get the number of steps until the solution was found
-   */
-  int getSteps(void) {
-	return steps;
-  }
-
-
-
-  /**
-   * \brief set system with Matrix M and vector q
-   */
-  void setSystem(const btMatrixXu & M_, const btVectorXu & q_)
-	{
-		m_M = M_;
-		m_q = q_;
-  }
-  /***************************************************/
-
-  /**
-   * \brief solve algorithm adapted from : Fast Implementation of Lemke’s Algorithm for Rigid Body Contact Simulation (John E. Lloyd)
-   */
-  btVectorXu solve(unsigned int maxloops = 0);
-
-  virtual ~btLemkeAlgorithm() {
-  }
-
-protected:
-  int findLexicographicMinimum(const btMatrixXu &A, const int & pivotColIndex);
-  bool LexicographicPositive(const btVectorXu & v);
-  void GaussJordanEliminationStep(btMatrixXu &A, int pivotRowIndex, int pivotColumnIndex, const btAlignedObjectArray<int>& basis);
-  bool greaterZero(const btVectorXu & vector);
-  bool validBasis(const btAlignedObjectArray<int>& basis);
-
-  btMatrixXu m_M;
-  btVectorXu m_q;
-
-  /**
-   * \brief number of steps until the Lemke algorithm found a solution
-   */
-  unsigned int steps;
-
-  /**
-   * \brief define level of debug output
-   */
-  int DEBUGLEVEL;
-
-  /**
-   * \brief did the algorithm find a solution
-   *
-   * -1 : not successful
-   *  0 : successful
-   */
-  int info;
-};
-
-
-#endif /* BT_NUMERICS_LEMKE_ALGORITHM_H_ */
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeSolver.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeSolver.h
deleted file mode 100644
index 98484c3796..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btLemkeSolver.h
+++ /dev/null
@@ -1,350 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#ifndef BT_LEMKE_SOLVER_H
-#define BT_LEMKE_SOLVER_H
-
-
-#include "btMLCPSolverInterface.h"
-#include "btLemkeAlgorithm.h"
-
-
-
-
-///The btLemkeSolver is based on "Fast Implementation of Lemke’s Algorithm for Rigid Body Contact Simulation (John E. Lloyd) "
-///It is a slower but more accurate solver. Increase the m_maxLoops for better convergence, at the cost of more CPU time.
-///The original implementation of the btLemkeAlgorithm was done by Kilian Grundl from the MBSim team
-class btLemkeSolver : public btMLCPSolverInterface
-{
-protected:
-	
-public:
-
-	btScalar	m_maxValue;
-	int			m_debugLevel;
-	int			m_maxLoops;
-	bool		m_useLoHighBounds;
-	
-	
-
-	btLemkeSolver()
-		:m_maxValue(100000),
-		m_debugLevel(0),
-		m_maxLoops(1000),
-		m_useLoHighBounds(true)
-	{
-	}
-	virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)
-	{
-		
-		if (m_useLoHighBounds)
-		{
-
-		BT_PROFILE("btLemkeSolver::solveMLCP");
-		int n = A.rows();
-		if (0==n)
-			return true;
-		
-		bool fail = false;
-
-		btVectorXu solution(n);
-		btVectorXu q1;
-		q1.resize(n);
-		for (int row=0;row<n;row++)
-		{
-			q1[row] = -b[row];
-		}
-
-	//		cout << "A" << endl;
-	//		cout << A << endl;
-
-			/////////////////////////////////////
-
-			//slow matrix inversion, replace with LU decomposition
-			btMatrixXu A1;
-			btMatrixXu B(n,n);
-			{
-				BT_PROFILE("inverse(slow)");
-				A1.resize(A.rows(),A.cols());
-				for (int row=0;row<A.rows();row++)
-				{
-					for (int col=0;col<A.cols();col++)
-					{
-						A1.setElem(row,col,A(row,col));
-					}
-				}
-
-				btMatrixXu matrix;
-				matrix.resize(n,2*n);
-				for (int row=0;row<n;row++)
-				{
-					for (int col=0;col<n;col++)
-					{
-						matrix.setElem(row,col,A1(row,col));
-					}
-				}
-
-
-				btScalar ratio,a;
-				int i,j,k;
-				for(i = 0; i < n; i++){
-				for(j = n; j < 2*n; j++){
-					if(i==(j-n))
-						matrix.setElem(i,j,1.0);
-					else
-						matrix.setElem(i,j,0.0);
-				}
-			}
-			for(i = 0; i < n; i++){
-				for(j = 0; j < n; j++){
-					if(i!=j)
-					{
-						btScalar v = matrix(i,i);
-						if (btFuzzyZero(v))
-						{
-							a = 0.000001f;
-						}
-						ratio = matrix(j,i)/matrix(i,i);
-						for(k = 0; k < 2*n; k++){
-							matrix.addElem(j,k,- ratio * matrix(i,k));
-						}
-					}
-				}
-			}
-			for(i = 0; i < n; i++){
-				a = matrix(i,i);
-				if (btFuzzyZero(a))
-				{
-					a = 0.000001f;
-				}
-				btScalar invA = 1.f/a;
-				for(j = 0; j < 2*n; j++){
-					matrix.mulElem(i,j,invA);
-				}
-			}
-
-	
-
-	
-
-			for (int row=0;row<n;row++)
-				{
-					for (int col=0;col<n;col++)
-					{
-						B.setElem(row,col,matrix(row,n+col));
-					}
-				}
-			}
-
-		btMatrixXu b1(n,1);
-
-		btMatrixXu M(n*2,n*2);
-		for (int row=0;row<n;row++)
-		{
-			b1.setElem(row,0,-b[row]);
-			for (int col=0;col<n;col++)
-			{
-				btScalar v =B(row,col);
-				M.setElem(row,col,v);
-				M.setElem(n+row,n+col,v);
-				M.setElem(n+row,col,-v);
-				M.setElem(row,n+col,-v);
-
-			}
-		}
-
-		btMatrixXu Bb1 = B*b1;
-//		q = [ (-B*b1 - lo)'   (hi + B*b1)' ]'
-
-		btVectorXu qq;
-		qq.resize(n*2);
-		for (int row=0;row<n;row++)
-		{
-			qq[row] = -Bb1(row,0)-lo[row];
-			qq[n+row] = Bb1(row,0)+hi[row];
-		}
-
-		btVectorXu z1;
-
-		btMatrixXu y1;
-		y1.resize(n,1);
-		btLemkeAlgorithm lemke(M,qq,m_debugLevel);
-		{
-			BT_PROFILE("lemke.solve");
-			lemke.setSystem(M,qq);
-			z1  = lemke.solve(m_maxLoops);
-		}
-		for (int row=0;row<n;row++)
-		{
-			y1.setElem(row,0,z1[2*n+row]-z1[3*n+row]);
-		}
-		btMatrixXu y1_b1(n,1);
-		for (int i=0;i<n;i++)
-		{
-			y1_b1.setElem(i,0,y1(i,0)-b1(i,0));
-		}
-
-		btMatrixXu x1;
-
-		x1 = B*(y1_b1);
-			
-		for (int row=0;row<n;row++)
-		{
-			solution[row] = x1(row,0);//n];
-		}
-
-		int errorIndexMax = -1;
-		int errorIndexMin = -1;
-		float errorValueMax = -1e30;
-		float errorValueMin = 1e30;
-		
-		for (int i=0;i<n;i++)
-		{
-			x[i] = solution[i];
-			volatile btScalar check = x[i];
-			if (x[i] != check)
-			{
-				//printf("Lemke result is #NAN\n");
-				x.setZero();
-				return false;
-			}
-			
-			//this is some hack/safety mechanism, to discard invalid solutions from the Lemke solver 
-			//we need to figure out why it happens, and fix it, or detect it properly)
-			if (x[i]>m_maxValue)
-			{
-				if (x[i]> errorValueMax)
-				{
-					fail = true;
-					errorIndexMax = i;
-					errorValueMax = x[i];
-				}
-				////printf("x[i] = %f,",x[i]);
-			}
-			if (x[i]<-m_maxValue)
-			{
-				if (x[i]<errorValueMin)
-				{
-					errorIndexMin = i;
-					errorValueMin = x[i];
-					fail = true;
-					//printf("x[i] = %f,",x[i]);
-				}
-			}
-		}
-		if (fail)
-		{
-			int m_errorCountTimes = 0;
-			if (errorIndexMin<0)
-				errorValueMin = 0.f;
-			if (errorIndexMax<0)
-				errorValueMax = 0.f;
-			m_errorCountTimes++;
-		//	printf("Error (x[%d] = %f, x[%d] = %f), resetting %d times\n", errorIndexMin,errorValueMin, errorIndexMax, errorValueMax, errorCountTimes++);
-			for (int i=0;i<n;i++)
-			{
-				x[i]=0.f;
-			}
-		}
-		return !fail;
-	} else
-		
-	{
-			int dimension = A.rows();
-		if (0==dimension)
-			return true;
-		
-//		printf("================ solving using Lemke/Newton/Fixpoint\n");
-
-		btVectorXu q;
-		q.resize(dimension);
-		for (int row=0;row<dimension;row++)
-		{
-			q[row] = -b[row];
-		}
-		
-		btLemkeAlgorithm lemke(A,q,m_debugLevel);
-		
-		
-		lemke.setSystem(A,q);
-		
-		btVectorXu solution = lemke.solve(m_maxLoops);
-		
-		//check solution
-		
-		bool fail = false;
-		int errorIndexMax = -1;
-		int errorIndexMin = -1;
-		float errorValueMax = -1e30;
-		float errorValueMin = 1e30;
-		
-		for (int i=0;i<dimension;i++)
-		{
-			x[i] = solution[i+dimension];
-			volatile btScalar check = x[i];
-			if (x[i] != check)
-			{
-				x.setZero();
-				return false;
-			}
-			
-			//this is some hack/safety mechanism, to discard invalid solutions from the Lemke solver 
-			//we need to figure out why it happens, and fix it, or detect it properly)
-			if (x[i]>m_maxValue)
-			{
-				if (x[i]> errorValueMax)
-				{
-					fail = true;
-					errorIndexMax = i;
-					errorValueMax = x[i];
-				}
-				////printf("x[i] = %f,",x[i]);
-			}
-			if (x[i]<-m_maxValue)
-			{
-				if (x[i]<errorValueMin)
-				{
-					errorIndexMin = i;
-					errorValueMin = x[i];
-					fail = true;
-					//printf("x[i] = %f,",x[i]);
-				}
-			}
-		}
-		if (fail)
-		{
-			static int errorCountTimes = 0;
-			if (errorIndexMin<0)
-				errorValueMin = 0.f;
-			if (errorIndexMax<0)
-				errorValueMax = 0.f;
-			printf("Error (x[%d] = %f, x[%d] = %f), resetting %d times\n", errorIndexMin,errorValueMin, errorIndexMax, errorValueMax, errorCountTimes++);
-			for (int i=0;i<dimension;i++)
-			{
-				x[i]=0.f;
-			}
-		}
-
-
-		return !fail;
-	}
-	return true;
-
-	}
-
-};
-
-#endif //BT_LEMKE_SOLVER_H
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.cpp b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.cpp
deleted file mode 100644
index 8f54c52626..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.cpp
+++ /dev/null
@@ -1,639 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#include "btMLCPSolver.h"
-#include "LinearMath/btMatrixX.h"
-#include "LinearMath/btQuickprof.h"
-#include "btSolveProjectedGaussSeidel.h"
-
-
-btMLCPSolver::btMLCPSolver(	 btMLCPSolverInterface* solver)
-:m_solver(solver),
-m_fallback(0)
-{
-}
-
-btMLCPSolver::~btMLCPSolver()
-{
-}
-
-bool gUseMatrixMultiply = false;
-bool interleaveContactAndFriction = false;
-
-btScalar btMLCPSolver::solveGroupCacheFriendlySetup(btCollisionObject** bodies, int numBodiesUnUsed, btPersistentManifold** manifoldPtr, int numManifolds,btTypedConstraint** constraints,int numConstraints,const btContactSolverInfo& infoGlobal,btIDebugDraw* debugDrawer)
-{
-	btSequentialImpulseConstraintSolver::solveGroupCacheFriendlySetup( bodies, numBodiesUnUsed, manifoldPtr, numManifolds,constraints,numConstraints,infoGlobal,debugDrawer);
-
-	{
-		BT_PROFILE("gather constraint data");
-
-		int numFrictionPerContact = m_tmpSolverContactConstraintPool.size()==m_tmpSolverContactFrictionConstraintPool.size()? 1 : 2;
-
-
-	//	int numBodies = m_tmpSolverBodyPool.size();
-		m_allConstraintPtrArray.resize(0);
-		m_limitDependencies.resize(m_tmpSolverNonContactConstraintPool.size()+m_tmpSolverContactConstraintPool.size()+m_tmpSolverContactFrictionConstraintPool.size());
-		btAssert(m_limitDependencies.size() == m_tmpSolverNonContactConstraintPool.size()+m_tmpSolverContactConstraintPool.size()+m_tmpSolverContactFrictionConstraintPool.size());
-	//	printf("m_limitDependencies.size() = %d\n",m_limitDependencies.size());
-
-		int dindex = 0;
-		for (int i=0;i<m_tmpSolverNonContactConstraintPool.size();i++)
-		{
-			m_allConstraintPtrArray.push_back(&m_tmpSolverNonContactConstraintPool[i]);
-			m_limitDependencies[dindex++] = -1;
-		}
- 
-		///The btSequentialImpulseConstraintSolver moves all friction constraints at the very end, we can also interleave them instead
-		
-		int firstContactConstraintOffset=dindex;
-
-		if (interleaveContactAndFriction)
-		{
-			for (int i=0;i<m_tmpSolverContactConstraintPool.size();i++)
-			{
-				m_allConstraintPtrArray.push_back(&m_tmpSolverContactConstraintPool[i]);
-				m_limitDependencies[dindex++] = -1;
-				m_allConstraintPtrArray.push_back(&m_tmpSolverContactFrictionConstraintPool[i*numFrictionPerContact]);
-				int findex = (m_tmpSolverContactFrictionConstraintPool[i*numFrictionPerContact].m_frictionIndex*(1+numFrictionPerContact));
-				m_limitDependencies[dindex++] = findex +firstContactConstraintOffset;
-				if (numFrictionPerContact==2)
-				{
-					m_allConstraintPtrArray.push_back(&m_tmpSolverContactFrictionConstraintPool[i*numFrictionPerContact+1]);
-					m_limitDependencies[dindex++] = findex+firstContactConstraintOffset;
-				}
-			}
-		} else
-		{
-			for (int i=0;i<m_tmpSolverContactConstraintPool.size();i++)
-			{
-				m_allConstraintPtrArray.push_back(&m_tmpSolverContactConstraintPool[i]);
-				m_limitDependencies[dindex++] = -1;
-			}
-			for (int i=0;i<m_tmpSolverContactFrictionConstraintPool.size();i++)
-			{
-				m_allConstraintPtrArray.push_back(&m_tmpSolverContactFrictionConstraintPool[i]);
-				m_limitDependencies[dindex++] = m_tmpSolverContactFrictionConstraintPool[i].m_frictionIndex+firstContactConstraintOffset;
-			}
-			
-		}
-
-
-		if (!m_allConstraintPtrArray.size())
-		{
-			m_A.resize(0,0);
-			m_b.resize(0);
-			m_x.resize(0);
-			m_lo.resize(0);
-			m_hi.resize(0);
-			return 0.f;
-		}
-	}
-
-	
-	if (gUseMatrixMultiply)
-	{
-		BT_PROFILE("createMLCP");
-		createMLCP(infoGlobal);
-	}
-	else
-	{
-		BT_PROFILE("createMLCPFast");
-		createMLCPFast(infoGlobal);
-	}
-
-	return 0.f;
-}
-
-bool btMLCPSolver::solveMLCP(const btContactSolverInfo& infoGlobal)
-{
-	bool result = true;
-
-	if (m_A.rows()==0)
-		return true;
-
-	//if using split impulse, we solve 2 separate (M)LCPs
-	if (infoGlobal.m_splitImpulse)
-	{
-		btMatrixXu Acopy = m_A;
-		btAlignedObjectArray<int> limitDependenciesCopy = m_limitDependencies;
-//		printf("solve first LCP\n");
-		result = m_solver->solveMLCP(m_A, m_b, m_x, m_lo,m_hi, m_limitDependencies,infoGlobal.m_numIterations );
-		if (result)
-			result = m_solver->solveMLCP(Acopy, m_bSplit, m_xSplit, m_lo,m_hi, limitDependenciesCopy,infoGlobal.m_numIterations );
-
-	} else
-	{
-		result = m_solver->solveMLCP(m_A, m_b, m_x, m_lo,m_hi, m_limitDependencies,infoGlobal.m_numIterations );
-	}
-	return result;
-}
-
-struct btJointNode
-{
-	int jointIndex;     // pointer to enclosing dxJoint object
-	int otherBodyIndex;       // *other* body this joint is connected to
-	int nextJointNodeIndex;//-1 for null
-	int constraintRowIndex;
-};
-
-
-
-void btMLCPSolver::createMLCPFast(const btContactSolverInfo& infoGlobal)
-{
-	int numContactRows = interleaveContactAndFriction ? 3 : 1;
-
-	int numConstraintRows = m_allConstraintPtrArray.size();
-	int n = numConstraintRows;
-	{
-		BT_PROFILE("init b (rhs)");
-		m_b.resize(numConstraintRows);
-		m_bSplit.resize(numConstraintRows);
-		m_b.setZero();
-		m_bSplit.setZero();
-		for (int i=0;i<numConstraintRows ;i++)
-		{
-			btScalar jacDiag = m_allConstraintPtrArray[i]->m_jacDiagABInv;
-			if (!btFuzzyZero(jacDiag))
-			{
-				btScalar rhs = m_allConstraintPtrArray[i]->m_rhs;
-				btScalar rhsPenetration = m_allConstraintPtrArray[i]->m_rhsPenetration;
-				m_b[i]=rhs/jacDiag;
-				m_bSplit[i] = rhsPenetration/jacDiag;
-			}
-
-		}
-	}
-
-//	btScalar* w = 0;
-//	int nub = 0;
-
-	m_lo.resize(numConstraintRows);
-	m_hi.resize(numConstraintRows);
- 
-	{
-		BT_PROFILE("init lo/ho");
-
-		for (int i=0;i<numConstraintRows;i++)
-		{
-			if (0)//m_limitDependencies[i]>=0)
-			{
-				m_lo[i] = -BT_INFINITY;
-				m_hi[i] = BT_INFINITY;
-			} else
-			{
-				m_lo[i] = m_allConstraintPtrArray[i]->m_lowerLimit;
-				m_hi[i] = m_allConstraintPtrArray[i]->m_upperLimit;
-			}
-		}
-	}
-
-	//
-	int m=m_allConstraintPtrArray.size();
-
-	int numBodies = m_tmpSolverBodyPool.size();
-	btAlignedObjectArray<int> bodyJointNodeArray;
-	{
-		BT_PROFILE("bodyJointNodeArray.resize");
-		bodyJointNodeArray.resize(numBodies,-1);
-	}
-	btAlignedObjectArray<btJointNode> jointNodeArray;
-	{
-		BT_PROFILE("jointNodeArray.reserve");
-		jointNodeArray.reserve(2*m_allConstraintPtrArray.size());
-	}
-
-    btMatrixXu& J3 = m_scratchJ3;
-	{
-		BT_PROFILE("J3.resize");
-		J3.resize(2*m,8);
-	}
-    btMatrixXu& JinvM3 = m_scratchJInvM3;
-	{
-		BT_PROFILE("JinvM3.resize/setZero");
-
-		JinvM3.resize(2*m,8);
-		JinvM3.setZero();
-		J3.setZero();
-	}
-	int cur=0;
-	int rowOffset = 0;
-    btAlignedObjectArray<int>& ofs = m_scratchOfs;
-	{
-		BT_PROFILE("ofs resize");
-		ofs.resize(0);
-		ofs.resizeNoInitialize(m_allConstraintPtrArray.size());
-	}				
-	{
-		BT_PROFILE("Compute J and JinvM");
-		int c=0;
-
-		int numRows = 0;
-
-		for (int i=0;i<m_allConstraintPtrArray.size();i+=numRows,c++)
-		{
-			ofs[c] = rowOffset;
-			int sbA = m_allConstraintPtrArray[i]->m_solverBodyIdA;
-			int sbB = m_allConstraintPtrArray[i]->m_solverBodyIdB;
-			btRigidBody* orgBodyA = m_tmpSolverBodyPool[sbA].m_originalBody;
-			btRigidBody* orgBodyB = m_tmpSolverBodyPool[sbB].m_originalBody;
-
-			numRows = i<m_tmpSolverNonContactConstraintPool.size() ? m_tmpConstraintSizesPool[c].m_numConstraintRows : numContactRows ;
-			if (orgBodyA)
-			{
-				{
-					int slotA=-1;
-					//find free jointNode slot for sbA
-					slotA =jointNodeArray.size();
-					jointNodeArray.expand();//NonInitializing();
-					int prevSlot = bodyJointNodeArray[sbA];
-					bodyJointNodeArray[sbA] = slotA;
-					jointNodeArray[slotA].nextJointNodeIndex = prevSlot;
-					jointNodeArray[slotA].jointIndex = c;
-					jointNodeArray[slotA].constraintRowIndex = i;
-					jointNodeArray[slotA].otherBodyIndex = orgBodyB ? sbB : -1;
-				}
-				for (int row=0;row<numRows;row++,cur++)
-				{
-					btVector3 normalInvMass =				m_allConstraintPtrArray[i+row]->m_contactNormal1 *		orgBodyA->getInvMass();
-					btVector3 relPosCrossNormalInvInertia = m_allConstraintPtrArray[i+row]->m_relpos1CrossNormal *	orgBodyA->getInvInertiaTensorWorld();
-
-					for (int r=0;r<3;r++)
-					{
-						J3.setElem(cur,r,m_allConstraintPtrArray[i+row]->m_contactNormal1[r]);
-						J3.setElem(cur,r+4,m_allConstraintPtrArray[i+row]->m_relpos1CrossNormal[r]);
-						JinvM3.setElem(cur,r,normalInvMass[r]);
-						JinvM3.setElem(cur,r+4,relPosCrossNormalInvInertia[r]);
-					}
-					J3.setElem(cur,3,0);
-					JinvM3.setElem(cur,3,0);
-					J3.setElem(cur,7,0);
-					JinvM3.setElem(cur,7,0);
-				}
-			} else
-			{
-				cur += numRows;
-			}
-			if (orgBodyB)
-			{
-
-				{
-					int slotB=-1;
-					//find free jointNode slot for sbA
-					slotB =jointNodeArray.size();
-					jointNodeArray.expand();//NonInitializing();
-					int prevSlot = bodyJointNodeArray[sbB];
-					bodyJointNodeArray[sbB] = slotB;
-					jointNodeArray[slotB].nextJointNodeIndex = prevSlot;
-					jointNodeArray[slotB].jointIndex = c;
-					jointNodeArray[slotB].otherBodyIndex = orgBodyA ? sbA : -1;
-					jointNodeArray[slotB].constraintRowIndex = i;
-				}
-
-				for (int row=0;row<numRows;row++,cur++)
-				{
-					btVector3 normalInvMassB = m_allConstraintPtrArray[i+row]->m_contactNormal2*orgBodyB->getInvMass();
-					btVector3 relPosInvInertiaB = m_allConstraintPtrArray[i+row]->m_relpos2CrossNormal * orgBodyB->getInvInertiaTensorWorld();
-
-					for (int r=0;r<3;r++)
-					{
-						J3.setElem(cur,r,m_allConstraintPtrArray[i+row]->m_contactNormal2[r]);
-						J3.setElem(cur,r+4,m_allConstraintPtrArray[i+row]->m_relpos2CrossNormal[r]);
-						JinvM3.setElem(cur,r,normalInvMassB[r]);
-						JinvM3.setElem(cur,r+4,relPosInvInertiaB[r]);
-					}
-					J3.setElem(cur,3,0);
-					JinvM3.setElem(cur,3,0);
-					J3.setElem(cur,7,0);
-					JinvM3.setElem(cur,7,0);
-				}
-			}
-			else
-			{
-				cur += numRows;
-			}
-			rowOffset+=numRows;
-
-		}
-		
-	}
-
-
-	//compute JinvM = J*invM.
-	const btScalar* JinvM = JinvM3.getBufferPointer();
-
-	const btScalar* Jptr = J3.getBufferPointer();
-	{
-		BT_PROFILE("m_A.resize");
-		m_A.resize(n,n);
-	}
-	
-	{
-		BT_PROFILE("m_A.setZero");
-		m_A.setZero();
-	}
-	int c=0;
-	{
-		int numRows = 0;
-		BT_PROFILE("Compute A");
-		for (int i=0;i<m_allConstraintPtrArray.size();i+= numRows,c++)
-		{
-			int row__ = ofs[c];
-			int sbA = m_allConstraintPtrArray[i]->m_solverBodyIdA;
-			int sbB = m_allConstraintPtrArray[i]->m_solverBodyIdB;
-		//	btRigidBody* orgBodyA = m_tmpSolverBodyPool[sbA].m_originalBody;
-		//	btRigidBody* orgBodyB = m_tmpSolverBodyPool[sbB].m_originalBody;
-
-			numRows = i<m_tmpSolverNonContactConstraintPool.size() ? m_tmpConstraintSizesPool[c].m_numConstraintRows : numContactRows ;
-					
-			const btScalar *JinvMrow = JinvM + 2*8*(size_t)row__;
-
-			{
-				int startJointNodeA = bodyJointNodeArray[sbA];
-				while (startJointNodeA>=0)
-				{
-					int j0 = jointNodeArray[startJointNodeA].jointIndex;
-					int cr0 = jointNodeArray[startJointNodeA].constraintRowIndex;
-					if (j0<c)
-					{
-								 
-						int numRowsOther = cr0 < m_tmpSolverNonContactConstraintPool.size() ? m_tmpConstraintSizesPool[j0].m_numConstraintRows : numContactRows;
-						size_t ofsother = (m_allConstraintPtrArray[cr0]->m_solverBodyIdB == sbA) ? 8*numRowsOther  : 0;
-						//printf("%d joint i %d and j0: %d: ",count++,i,j0);
-						m_A.multiplyAdd2_p8r ( JinvMrow, 
-						Jptr + 2*8*(size_t)ofs[j0] + ofsother, numRows, numRowsOther,  row__,ofs[j0]);
-					}
-					startJointNodeA = jointNodeArray[startJointNodeA].nextJointNodeIndex;
-				}
-			}
-
-			{
-				int startJointNodeB = bodyJointNodeArray[sbB];
-				while (startJointNodeB>=0)
-				{
-					int j1 = jointNodeArray[startJointNodeB].jointIndex;
-					int cj1 = jointNodeArray[startJointNodeB].constraintRowIndex;
-
-					if (j1<c)
-					{
-						int numRowsOther =  cj1 < m_tmpSolverNonContactConstraintPool.size() ? m_tmpConstraintSizesPool[j1].m_numConstraintRows : numContactRows;
-						size_t ofsother = (m_allConstraintPtrArray[cj1]->m_solverBodyIdB == sbB) ? 8*numRowsOther  : 0;
-						m_A.multiplyAdd2_p8r ( JinvMrow + 8*(size_t)numRows, 
-						Jptr + 2*8*(size_t)ofs[j1] + ofsother, numRows, numRowsOther, row__,ofs[j1]);
-					}
-					startJointNodeB = jointNodeArray[startJointNodeB].nextJointNodeIndex;
-				}
-			}
-		}
-
-		{
-			BT_PROFILE("compute diagonal");
-			// compute diagonal blocks of m_A
-
-			int  row__ = 0;
-			int numJointRows = m_allConstraintPtrArray.size();
-
-			int jj=0;
-			for (;row__<numJointRows;)
-			{
-
-				//int sbA = m_allConstraintPtrArray[row__]->m_solverBodyIdA;
-				int sbB = m_allConstraintPtrArray[row__]->m_solverBodyIdB;
-			//	btRigidBody* orgBodyA = m_tmpSolverBodyPool[sbA].m_originalBody;
-				btRigidBody* orgBodyB = m_tmpSolverBodyPool[sbB].m_originalBody;
-
-
-				const unsigned int infom =  row__ < m_tmpSolverNonContactConstraintPool.size() ? m_tmpConstraintSizesPool[jj].m_numConstraintRows : numContactRows;
-				
-				const btScalar *JinvMrow = JinvM + 2*8*(size_t)row__;
-				const btScalar *Jrow = Jptr + 2*8*(size_t)row__;
-				m_A.multiply2_p8r (JinvMrow, Jrow, infom, infom, row__,row__);
-				if (orgBodyB) 
-				{
-					m_A.multiplyAdd2_p8r (JinvMrow + 8*(size_t)infom, Jrow + 8*(size_t)infom, infom, infom,  row__,row__);
-				}
-				row__ += infom;
-				jj++;
-			}
-		}
-	}
-
-	if (1)
-	{
-		// add cfm to the diagonal of m_A
-		for ( int i=0; i<m_A.rows(); ++i) 
-		{
-			m_A.setElem(i,i,m_A(i,i)+ infoGlobal.m_globalCfm/ infoGlobal.m_timeStep);
-		}
-	}
-				   
-	///fill the upper triangle of the matrix, to make it symmetric
-	{
-		BT_PROFILE("fill the upper triangle ");
-		m_A.copyLowerToUpperTriangle();
-	}
-
-	{
-		BT_PROFILE("resize/init x");
-		m_x.resize(numConstraintRows);
-		m_xSplit.resize(numConstraintRows);
-
-		if (infoGlobal.m_solverMode&SOLVER_USE_WARMSTARTING)
-		{
-			for (int i=0;i<m_allConstraintPtrArray.size();i++)
-			{
-				const btSolverConstraint& c = *m_allConstraintPtrArray[i];
-				m_x[i]=c.m_appliedImpulse;
-				m_xSplit[i] = c.m_appliedPushImpulse;
-			}
-		} else
-		{
-			m_x.setZero();
-			m_xSplit.setZero();
-		}
-	}
-
-}
-
-void btMLCPSolver::createMLCP(const btContactSolverInfo& infoGlobal)
-{
-	int numBodies = this->m_tmpSolverBodyPool.size();
-	int numConstraintRows = m_allConstraintPtrArray.size();
-
-	m_b.resize(numConstraintRows);
-	if (infoGlobal.m_splitImpulse)
-		m_bSplit.resize(numConstraintRows);
- 
-	m_bSplit.setZero();
-	m_b.setZero();
-
-	for (int i=0;i<numConstraintRows ;i++)
-	{
-		if (m_allConstraintPtrArray[i]->m_jacDiagABInv)
-		{
-			m_b[i]=m_allConstraintPtrArray[i]->m_rhs/m_allConstraintPtrArray[i]->m_jacDiagABInv;
-			if (infoGlobal.m_splitImpulse)
-				m_bSplit[i] = m_allConstraintPtrArray[i]->m_rhsPenetration/m_allConstraintPtrArray[i]->m_jacDiagABInv;
-		}
-	}
- 
-    btMatrixXu& Minv = m_scratchMInv;
-	Minv.resize(6*numBodies,6*numBodies);
-	Minv.setZero();
-	for (int i=0;i<numBodies;i++)
-	{
-		const btSolverBody& rb = m_tmpSolverBodyPool[i];
-		const btVector3& invMass = rb.m_invMass;
-		setElem(Minv,i*6+0,i*6+0,invMass[0]);
-		setElem(Minv,i*6+1,i*6+1,invMass[1]);
-		setElem(Minv,i*6+2,i*6+2,invMass[2]);
-		btRigidBody* orgBody = m_tmpSolverBodyPool[i].m_originalBody;
- 
-		for (int r=0;r<3;r++)
-			for (int c=0;c<3;c++)
-				setElem(Minv,i*6+3+r,i*6+3+c,orgBody? orgBody->getInvInertiaTensorWorld()[r][c] : 0);
-	}
- 
-    btMatrixXu& J = m_scratchJ;
-	J.resize(numConstraintRows,6*numBodies);
-	J.setZero();
- 
-	m_lo.resize(numConstraintRows);
-	m_hi.resize(numConstraintRows);
- 
-	for (int i=0;i<numConstraintRows;i++)
-	{
-
-		m_lo[i] = m_allConstraintPtrArray[i]->m_lowerLimit;
-		m_hi[i] = m_allConstraintPtrArray[i]->m_upperLimit;
- 
-		int bodyIndex0 = m_allConstraintPtrArray[i]->m_solverBodyIdA;
-		int bodyIndex1 = m_allConstraintPtrArray[i]->m_solverBodyIdB;
-		if (m_tmpSolverBodyPool[bodyIndex0].m_originalBody)
-		{
-			setElem(J,i,6*bodyIndex0+0,m_allConstraintPtrArray[i]->m_contactNormal1[0]);
-			setElem(J,i,6*bodyIndex0+1,m_allConstraintPtrArray[i]->m_contactNormal1[1]);
-			setElem(J,i,6*bodyIndex0+2,m_allConstraintPtrArray[i]->m_contactNormal1[2]);
-			setElem(J,i,6*bodyIndex0+3,m_allConstraintPtrArray[i]->m_relpos1CrossNormal[0]);
-			setElem(J,i,6*bodyIndex0+4,m_allConstraintPtrArray[i]->m_relpos1CrossNormal[1]);
-			setElem(J,i,6*bodyIndex0+5,m_allConstraintPtrArray[i]->m_relpos1CrossNormal[2]);
-		}
-		if (m_tmpSolverBodyPool[bodyIndex1].m_originalBody)
-		{
-			setElem(J,i,6*bodyIndex1+0,m_allConstraintPtrArray[i]->m_contactNormal2[0]);
-			setElem(J,i,6*bodyIndex1+1,m_allConstraintPtrArray[i]->m_contactNormal2[1]);
-			setElem(J,i,6*bodyIndex1+2,m_allConstraintPtrArray[i]->m_contactNormal2[2]);
-			setElem(J,i,6*bodyIndex1+3,m_allConstraintPtrArray[i]->m_relpos2CrossNormal[0]);
-			setElem(J,i,6*bodyIndex1+4,m_allConstraintPtrArray[i]->m_relpos2CrossNormal[1]);
-			setElem(J,i,6*bodyIndex1+5,m_allConstraintPtrArray[i]->m_relpos2CrossNormal[2]);
-		}
-	}
- 
-    btMatrixXu& J_transpose = m_scratchJTranspose;
-	J_transpose= J.transpose();
-
-    btMatrixXu& tmp = m_scratchTmp;
-
-	{
-		{
-			BT_PROFILE("J*Minv");
-			tmp = J*Minv;
-
-		}
-		{
-			BT_PROFILE("J*tmp");
-			m_A = tmp*J_transpose;
-		}
-	}
-
-	if (1)
-	{
-		// add cfm to the diagonal of m_A
-		for ( int i=0; i<m_A.rows(); ++i) 
-		{
-			m_A.setElem(i,i,m_A(i,i)+ infoGlobal.m_globalCfm / infoGlobal.m_timeStep);
-		}
-	}
-
-	m_x.resize(numConstraintRows);
-	if (infoGlobal.m_splitImpulse)
-		m_xSplit.resize(numConstraintRows);
-//	m_x.setZero();
-
-	for (int i=0;i<m_allConstraintPtrArray.size();i++)
-	{
-		const btSolverConstraint& c = *m_allConstraintPtrArray[i];
-		m_x[i]=c.m_appliedImpulse;
-		if (infoGlobal.m_splitImpulse)
-			m_xSplit[i] = c.m_appliedPushImpulse;
-	}
-
-}
-
-
-btScalar btMLCPSolver::solveGroupCacheFriendlyIterations(btCollisionObject** bodies ,int numBodies,btPersistentManifold** manifoldPtr, int numManifolds,btTypedConstraint** constraints,int numConstraints,const btContactSolverInfo& infoGlobal,btIDebugDraw* debugDrawer)
-{
-	bool result = true;
-	{
-		BT_PROFILE("solveMLCP");
-//		printf("m_A(%d,%d)\n", m_A.rows(),m_A.cols());
-		result = solveMLCP(infoGlobal);
-	}
-
-	//check if solution is valid, and otherwise fallback to btSequentialImpulseConstraintSolver::solveGroupCacheFriendlyIterations
-	if (result)
-	{
-		BT_PROFILE("process MLCP results");
-		for (int i=0;i<m_allConstraintPtrArray.size();i++)
-		{
-			{
-				btSolverConstraint& c = *m_allConstraintPtrArray[i];
-				int sbA = c.m_solverBodyIdA;
-				int sbB = c.m_solverBodyIdB;
-				//btRigidBody* orgBodyA = m_tmpSolverBodyPool[sbA].m_originalBody;
-			//	btRigidBody* orgBodyB = m_tmpSolverBodyPool[sbB].m_originalBody;
-
-				btSolverBody& solverBodyA = m_tmpSolverBodyPool[sbA];
-				btSolverBody& solverBodyB = m_tmpSolverBodyPool[sbB];
- 
-				{
-					btScalar deltaImpulse = m_x[i]-c.m_appliedImpulse;
-					c.m_appliedImpulse = m_x[i];
-					solverBodyA.internalApplyImpulse(c.m_contactNormal1*solverBodyA.internalGetInvMass(),c.m_angularComponentA,deltaImpulse);
-					solverBodyB.internalApplyImpulse(c.m_contactNormal2*solverBodyB.internalGetInvMass(),c.m_angularComponentB,deltaImpulse);
-				}
-
-				if (infoGlobal.m_splitImpulse)
-				{
-					btScalar deltaImpulse = m_xSplit[i] - c.m_appliedPushImpulse;
-					solverBodyA.internalApplyPushImpulse(c.m_contactNormal1*solverBodyA.internalGetInvMass(),c.m_angularComponentA,deltaImpulse);
-					solverBodyB.internalApplyPushImpulse(c.m_contactNormal2*solverBodyB.internalGetInvMass(),c.m_angularComponentB,deltaImpulse);
-					c.m_appliedPushImpulse = m_xSplit[i];
-				}
-				
-			}
-		}
-	}
-	else
-	{
-	//	printf("m_fallback = %d\n",m_fallback);
-		m_fallback++;
-		btSequentialImpulseConstraintSolver::solveGroupCacheFriendlyIterations(bodies ,numBodies,manifoldPtr, numManifolds,constraints,numConstraints,infoGlobal,debugDrawer);
-	}
-
-	return 0.f;
-}
-
-
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.h
deleted file mode 100644
index 26b482ddc1..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolver.h
+++ /dev/null
@@ -1,94 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#ifndef BT_MLCP_SOLVER_H
-#define BT_MLCP_SOLVER_H
-
-#include "BulletDynamics/ConstraintSolver/btSequentialImpulseConstraintSolver.h"
-#include "LinearMath/btMatrixX.h"
-#include "BulletDynamics/MLCPSolvers/btMLCPSolverInterface.h"
-
-class btMLCPSolver : public btSequentialImpulseConstraintSolver
-{
-
-protected:
-	
-	btMatrixXu m_A;
-	btVectorXu m_b;
-	btVectorXu m_x;
-	btVectorXu m_lo;
-	btVectorXu m_hi;
-	
-	///when using 'split impulse' we solve two separate (M)LCPs
-	btVectorXu m_bSplit;
-	btVectorXu m_xSplit;
-	btVectorXu m_bSplit1;
-	btVectorXu m_xSplit2;
-
-	btAlignedObjectArray<int> m_limitDependencies;
-	btAlignedObjectArray<btSolverConstraint*>	m_allConstraintPtrArray;
-	btMLCPSolverInterface* m_solver;
-	int m_fallback;
-
-    /// The following scratch variables are not stateful -- contents are cleared prior to each use.
-    /// They are only cached here to avoid extra memory allocations and deallocations and to ensure
-    /// that multiple instances of the solver can be run in parallel.
-    btMatrixXu m_scratchJ3;
-    btMatrixXu m_scratchJInvM3;
-    btAlignedObjectArray<int> m_scratchOfs;
-    btMatrixXu m_scratchMInv;
-    btMatrixXu m_scratchJ;
-    btMatrixXu m_scratchJTranspose;
-    btMatrixXu m_scratchTmp;
-
-	virtual btScalar solveGroupCacheFriendlySetup(btCollisionObject** bodies, int numBodies, btPersistentManifold** manifoldPtr, int numManifolds,btTypedConstraint** constraints,int numConstraints,const btContactSolverInfo& infoGlobal,btIDebugDraw* debugDrawer);
-	virtual btScalar solveGroupCacheFriendlyIterations(btCollisionObject** bodies ,int numBodies,btPersistentManifold** manifoldPtr, int numManifolds,btTypedConstraint** constraints,int numConstraints,const btContactSolverInfo& infoGlobal,btIDebugDraw* debugDrawer);
-
-
-	virtual void createMLCP(const btContactSolverInfo& infoGlobal);
-	virtual void createMLCPFast(const btContactSolverInfo& infoGlobal);
-
-	//return true is it solves the problem successfully
-	virtual bool solveMLCP(const btContactSolverInfo& infoGlobal);
-
-public:
-
-	btMLCPSolver(	 btMLCPSolverInterface* solver);
-	virtual ~btMLCPSolver();
-
-	void setMLCPSolver(btMLCPSolverInterface* solver)
-	{
-		m_solver = solver;
-	}
-
-	int getNumFallbacks() const
-	{
-		return m_fallback;
-	}
-	void setNumFallbacks(int num)
-	{
-		m_fallback = num;
-	}
-
-	virtual btConstraintSolverType	getSolverType() const
-	{
-		return BT_MLCP_SOLVER;
-	}
-
-};
-
-
-#endif //BT_MLCP_SOLVER_H
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolverInterface.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolverInterface.h
deleted file mode 100644
index 25bb3f6d32..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btMLCPSolverInterface.h
+++ /dev/null
@@ -1,33 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#ifndef BT_MLCP_SOLVER_INTERFACE_H
-#define BT_MLCP_SOLVER_INTERFACE_H
-
-#include "LinearMath/btMatrixX.h"
-
-class btMLCPSolverInterface
-{
-public:
-	virtual ~btMLCPSolverInterface()
-	{
-	}
-
-	//return true is it solves the problem successfully
-	virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)=0;
-};
-
-#endif //BT_MLCP_SOLVER_INTERFACE_H
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btPATHSolver.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btPATHSolver.h
deleted file mode 100644
index 9ec31a6d4e..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btPATHSolver.h
+++ /dev/null
@@ -1,151 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-
-#ifndef BT_PATH_SOLVER_H
-#define BT_PATH_SOLVER_H
-
-//#define BT_USE_PATH
-#ifdef BT_USE_PATH
-
-extern "C" {
-#include "PATH/SimpleLCP.h"
-#include "PATH/License.h"
-#include "PATH/Error_Interface.h"
-};
-  void __stdcall MyError(Void *data, Char *msg)
-{
-	printf("Path Error: %s\n",msg);
-}
-  void __stdcall MyWarning(Void *data, Char *msg)
-{
-	printf("Path Warning: %s\n",msg);
-}
-
-Error_Interface e;
-
-
-
-#include "btMLCPSolverInterface.h"
-#include "Dantzig/lcp.h"
-
-class btPathSolver : public btMLCPSolverInterface
-{
-public:
-
-	btPathSolver()
-	{
-		License_SetString("2069810742&Courtesy_License&&&USR&2013&14_12_2011&1000&PATH&GEN&31_12_2013&0_0_0&0&0_0");
-		e.error_data = 0;
-		e.warning = MyWarning;
-		e.error = MyError;
-		Error_SetInterface(&e);
-	}
-
-
-	virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)
-	{
-		MCP_Termination status;
-		
-
-		int numVariables = b.rows();
-		if (0==numVariables)
-			return true;
-
-			/*	 - variables - the number of variables in the problem
-			- m_nnz - the number of nonzeros in the M matrix
-			- m_i - a vector of size m_nnz containing the row indices for M
-			- m_j - a vector of size m_nnz containing the column indices for M
-			- m_ij - a vector of size m_nnz containing the data for M
-			- q - a vector of size variables
-			- lb - a vector of size variables containing the lower bounds on x
-			- ub - a vector of size variables containing the upper bounds on x
-			*/
-		btAlignedObjectArray<double> values;
-		btAlignedObjectArray<int> rowIndices;
-		btAlignedObjectArray<int> colIndices;
-
-		for (int i=0;i<A.rows();i++)
-		{
-			for (int j=0;j<A.cols();j++)
-			{
-				if (A(i,j)!=0.f)
-				{
-					//add 1, because Path starts at 1, instead of 0
-					rowIndices.push_back(i+1);
-					colIndices.push_back(j+1);
-					values.push_back(A(i,j));
-				}
-			}
-		}
-		int numNonZero = rowIndices.size();
-		btAlignedObjectArray<double> zResult;
-		zResult.resize(numVariables);
-		btAlignedObjectArray<double> rhs;
-		btAlignedObjectArray<double> upperBounds;
-		btAlignedObjectArray<double> lowerBounds;
-		for (int i=0;i<numVariables;i++)
-		{
-			upperBounds.push_back(hi[i]);
-			lowerBounds.push_back(lo[i]);
-			rhs.push_back(-b[i]);
-		}
-
-
-		SimpleLCP(numVariables,numNonZero,&rowIndices[0],&colIndices[0],&values[0],&rhs[0],&lowerBounds[0],&upperBounds[0], &status, &zResult[0]);
-
-		if (status != MCP_Solved)
-		{
-			static const char* gReturnMsgs[] = {
-				"Invalid return",
-				"MCP_Solved: The problem was solved",
-				"MCP_NoProgress: A stationary point was found",
-				"MCP_MajorIterationLimit: Major iteration limit met",
-				"MCP_MinorIterationLimit: Cumulative minor iteration limit met",
-				"MCP_TimeLimit: Ran out of time",
-				"MCP_UserInterrupt: Control-C, typically",
-				"MCP_BoundError: Problem has a bound error",
-				"MCP_DomainError: Could not find starting point",
-				"MCP_Infeasible: Problem has no solution",
-				"MCP_Error: An error occurred within the code",
-				"MCP_LicenseError: License could not be found",
-				"MCP_OK"
-			};
-
-			printf("ERROR: The PATH MCP solver failed: %s\n", gReturnMsgs[(unsigned int)status]);// << std::endl;
-			printf("using Projected Gauss Seidel fallback\n");
-			
-			return false;
-		} else
-		{
-			for (int i=0;i<numVariables;i++)
-			{
-				x[i] = zResult[i];
-				//check for #NAN
-				if (x[i] != zResult[i])
-					return false;
-			}
-			return true;
-
-		}
-
-	}
-};
-
-#endif //BT_USE_PATH
-
-
-#endif //BT_PATH_SOLVER_H
diff --git a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btSolveProjectedGaussSeidel.h b/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btSolveProjectedGaussSeidel.h
deleted file mode 100644
index c0b40ffd9f..0000000000
--- a/thirdparty/bullet/src/BulletDynamics/MLCPSolvers/btSolveProjectedGaussSeidel.h
+++ /dev/null
@@ -1,110 +0,0 @@
-/*
-Bullet Continuous Collision Detection and Physics Library
-Copyright (c) 2003-2013 Erwin Coumans  http://bulletphysics.org
-
-This software is provided 'as-is', without any express or implied warranty.
-In no event will the authors be held liable for any damages arising from the use of this software.
-Permission is granted to anyone to use this software for any purpose, 
-including commercial applications, and to alter it and redistribute it freely, 
-subject to the following restrictions:
-
-1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
-2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
-3. This notice may not be removed or altered from any source distribution.
-*/
-///original version written by Erwin Coumans, October 2013
-
-#ifndef BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
-#define BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
-
-
-#include "btMLCPSolverInterface.h"
-
-///This solver is mainly for debug/learning purposes: it is functionally equivalent to the btSequentialImpulseConstraintSolver solver, but much slower (it builds the full LCP matrix)
-class btSolveProjectedGaussSeidel : public btMLCPSolverInterface
-{
-
-public:
-
-	btScalar m_leastSquaresResidualThreshold;
-	btScalar m_leastSquaresResidual;
-
-	btSolveProjectedGaussSeidel()
-		:m_leastSquaresResidualThreshold(0),
-		m_leastSquaresResidual(0)
-	{
-	}
-
-	virtual bool solveMLCP(const btMatrixXu & A, const btVectorXu & b, btVectorXu& x, const btVectorXu & lo,const btVectorXu & hi,const btAlignedObjectArray<int>& limitDependency, int numIterations, bool useSparsity = true)
-	{
-		if (!A.rows())
-			return true;
-		//the A matrix is sparse, so compute the non-zero elements
-		A.rowComputeNonZeroElements();
-
-		//A is a m-n matrix, m rows, n columns
-		btAssert(A.rows() == b.rows());
-
-		int i, j, numRows = A.rows();
-	
-		btScalar delta;
-
-		for (int k = 0; k <numIterations; k++)
-		{
-			m_leastSquaresResidual = 0.f;
-			for (i = 0; i <numRows; i++)
-			{
-				delta = 0.0f;
-				if (useSparsity)
-				{
-					for (int h=0;h<A.m_rowNonZeroElements1[i].size();h++)
-					{
-						int j = A.m_rowNonZeroElements1[i][h];
-						if (j != i)//skip main diagonal
-						{
-							delta += A(i,j) * x[j];
-						}
-					}
-				} else
-				{
-					for (j = 0; j <i; j++) 
-						delta += A(i,j) * x[j];
-					for (j = i+1; j<numRows; j++) 
-						delta += A(i,j) * x[j];
-				}
-
-				btScalar aDiag = A(i,i);
-				btScalar xOld = x[i];
-				x [i] = (b [i] - delta) / aDiag;
-				btScalar s = 1.f;
-
-				if (limitDependency[i]>=0)
-				{
-					s = x[limitDependency[i]];
-					if (s<0)
-						s=1;
-				}
-			
-				if (x[i]<lo[i]*s)
-					x[i]=lo[i]*s;
-				if (x[i]>hi[i]*s)
-					x[i]=hi[i]*s;
-				btScalar diff = x[i] - xOld;
-				m_leastSquaresResidual += diff*diff;
-			}
-
-			btScalar eps  = m_leastSquaresResidualThreshold;
-			if ((m_leastSquaresResidual < eps) || (k >=(numIterations-1)))
-			{
-#ifdef VERBOSE_PRINTF_RESIDUAL
-				printf("totalLenSqr = %f at iteration #%d\n", m_leastSquaresResidual,k);
-#endif
-				break;
-			}
-		}
-		return true;
-	}
-
-};
-
-#endif //BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H