Bullet Collision Detection & Physics Library
btSolveProjectedGaussSeidel.h
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1/*
2Bullet Continuous Collision Detection and Physics Library
3Copyright (c) 2003-2013 Erwin Coumans http://bulletphysics.org
4
5This software is provided 'as-is', without any express or implied warranty.
6In no event will the authors be held liable for any damages arising from the use of this software.
7Permission is granted to anyone to use this software for any purpose,
8including commercial applications, and to alter it and redistribute it freely,
9subject to the following restrictions:
10
111. 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.
122. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
133. This notice may not be removed or altered from any source distribution.
14*/
16
17#ifndef BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
18#define BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
19
21
24{
25public:
28
32 {
33 }
34
35 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)
36 {
37 if (!A.rows())
38 return true;
39 //the A matrix is sparse, so compute the non-zero elements
40 A.rowComputeNonZeroElements();
41
42 //A is a m-n matrix, m rows, n columns
43 btAssert(A.rows() == b.rows());
44
45 int i, j, numRows = A.rows();
46
47 btScalar delta;
48
49 for (int k = 0; k < numIterations; k++)
50 {
52 for (i = 0; i < numRows; i++)
53 {
54 delta = 0.0f;
55 if (useSparsity)
56 {
57 for (int h = 0; h < A.m_rowNonZeroElements1[i].size(); h++)
58 {
59 j = A.m_rowNonZeroElements1[i][h];
60 if (j != i) //skip main diagonal
61 {
62 delta += A(i, j) * x[j];
63 }
64 }
65 }
66 else
67 {
68 for (j = 0; j < i; j++)
69 delta += A(i, j) * x[j];
70 for (j = i + 1; j < numRows; j++)
71 delta += A(i, j) * x[j];
72 }
73
74 btScalar aDiag = A(i, i);
75 btScalar xOld = x[i];
76 x[i] = (b[i] - delta) / aDiag;
77 btScalar s = 1.f;
78
79 if (limitDependency[i] >= 0)
80 {
81 s = x[limitDependency[i]];
82 if (s < 0)
83 s = 1;
84 }
85
86 if (x[i] < lo[i] * s)
87 x[i] = lo[i] * s;
88 if (x[i] > hi[i] * s)
89 x[i] = hi[i] * s;
90 btScalar diff = x[i] - xOld;
91 m_leastSquaresResidual += diff * diff;
92 }
93
95 if ((m_leastSquaresResidual < eps) || (k >= (numIterations - 1)))
96 {
97#ifdef VERBOSE_PRINTF_RESIDUAL
98 printf("totalLenSqr = %f at iteration #%d\n", m_leastSquaresResidual, k);
99#endif
100 break;
101 }
102 }
103 return true;
104 }
105};
106
107#endif //BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
#define btMatrixXu
Definition: btMatrixX.h:529
#define btVectorXu
Definition: btMatrixX.h:528
float btScalar
The btScalar type abstracts floating point numbers, to easily switch between double and single floati...
Definition: btScalar.h:314
#define btAssert(x)
Definition: btScalar.h:153
original version written by Erwin Coumans, October 2013
original version written by Erwin Coumans, October 2013
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)
const btScalar eps
Definition: poly34.cpp:11