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-rw-r--r--thirdparty/bullet/src/LinearMath/btPolarDecomposition.cpp98
1 files changed, 0 insertions, 98 deletions
diff --git a/thirdparty/bullet/src/LinearMath/btPolarDecomposition.cpp b/thirdparty/bullet/src/LinearMath/btPolarDecomposition.cpp
deleted file mode 100644
index b3664faa4e..0000000000
--- a/thirdparty/bullet/src/LinearMath/btPolarDecomposition.cpp
+++ /dev/null
@@ -1,98 +0,0 @@
-#include "btPolarDecomposition.h"
-#include "btMinMax.h"
-
-namespace
-{
- btScalar abs_column_sum(const btMatrix3x3& a, int i)
- {
- return btFabs(a[0][i]) + btFabs(a[1][i]) + btFabs(a[2][i]);
- }
-
- btScalar abs_row_sum(const btMatrix3x3& a, int i)
- {
- return btFabs(a[i][0]) + btFabs(a[i][1]) + btFabs(a[i][2]);
- }
-
- btScalar p1_norm(const btMatrix3x3& a)
- {
- const btScalar sum0 = abs_column_sum(a,0);
- const btScalar sum1 = abs_column_sum(a,1);
- const btScalar sum2 = abs_column_sum(a,2);
- return btMax(btMax(sum0, sum1), sum2);
- }
-
- btScalar pinf_norm(const btMatrix3x3& a)
- {
- const btScalar sum0 = abs_row_sum(a,0);
- const btScalar sum1 = abs_row_sum(a,1);
- const btScalar sum2 = abs_row_sum(a,2);
- return btMax(btMax(sum0, sum1), sum2);
- }
-}
-
-
-
-btPolarDecomposition::btPolarDecomposition(btScalar tolerance, unsigned int maxIterations)
-: m_tolerance(tolerance)
-, m_maxIterations(maxIterations)
-{
-}
-
-unsigned int btPolarDecomposition::decompose(const btMatrix3x3& a, btMatrix3x3& u, btMatrix3x3& h) const
-{
- // Use the 'u' and 'h' matrices for intermediate calculations
- u = a;
- h = a.inverse();
-
- for (unsigned int i = 0; i < m_maxIterations; ++i)
- {
- const btScalar h_1 = p1_norm(h);
- const btScalar h_inf = pinf_norm(h);
- const btScalar u_1 = p1_norm(u);
- const btScalar u_inf = pinf_norm(u);
-
- const btScalar h_norm = h_1 * h_inf;
- const btScalar u_norm = u_1 * u_inf;
-
- // The matrix is effectively singular so we cannot invert it
- if (btFuzzyZero(h_norm) || btFuzzyZero(u_norm))
- break;
-
- const btScalar gamma = btPow(h_norm / u_norm, 0.25f);
- const btScalar inv_gamma = btScalar(1.0) / gamma;
-
- // Determine the delta to 'u'
- const btMatrix3x3 delta = (u * (gamma - btScalar(2.0)) + h.transpose() * inv_gamma) * btScalar(0.5);
-
- // Update the matrices
- u += delta;
- h = u.inverse();
-
- // Check for convergence
- if (p1_norm(delta) <= m_tolerance * u_1)
- {
- h = u.transpose() * a;
- h = (h + h.transpose()) * 0.5;
- return i;
- }
- }
-
- // The algorithm has failed to converge to the specified tolerance, but we
- // want to make sure that the matrices returned are in the right form.
- h = u.transpose() * a;
- h = (h + h.transpose()) * 0.5;
-
- return m_maxIterations;
-}
-
-unsigned int btPolarDecomposition::maxIterations() const
-{
- return m_maxIterations;
-}
-
-unsigned int polarDecompose(const btMatrix3x3& a, btMatrix3x3& u, btMatrix3x3& h)
-{
- static btPolarDecomposition polar;
- return polar.decompose(a, u, h);
-}
-