Bullet Collision Detection & Physics Library
btSolveProjectedGaussSeidel.h
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1 /*
2 Bullet Continuous Collision Detection and Physics Library
3 Copyright (c) 2003-2013 Erwin Coumans http://bulletphysics.org
4 
5 This software is provided 'as-is', without any express or implied warranty.
6 In no event will the authors be held liable for any damages arising from the use of this software.
7 Permission is granted to anyone to use this software for any purpose,
8 including commercial applications, and to alter it and redistribute it freely,
9 subject to the following restrictions:
10 
11 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.
12 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
13 3. 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 
20 
21 #include "btMLCPSolverInterface.h"
22 
25 {
26 
27 public:
28 
31 
33  :m_leastSquaresResidualThreshold(0),
34  m_leastSquaresResidual(0)
35  {
36  }
37 
38  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)
39  {
40  if (!A.rows())
41  return true;
42  //the A matrix is sparse, so compute the non-zero elements
43  A.rowComputeNonZeroElements();
44 
45  //A is a m-n matrix, m rows, n columns
46  btAssert(A.rows() == b.rows());
47 
48  int i, j, numRows = A.rows();
49 
50  btScalar delta;
51 
52  for (int k = 0; k <numIterations; k++)
53  {
54  m_leastSquaresResidual = 0.f;
55  for (i = 0; i <numRows; i++)
56  {
57  delta = 0.0f;
58  if (useSparsity)
59  {
60  for (int h=0;h<A.m_rowNonZeroElements1[i].size();h++)
61  {
62  int j = A.m_rowNonZeroElements1[i][h];
63  if (j != i)//skip main diagonal
64  {
65  delta += A(i,j) * x[j];
66  }
67  }
68  } else
69  {
70  for (j = 0; j <i; j++)
71  delta += A(i,j) * x[j];
72  for (j = i+1; j<numRows; j++)
73  delta += A(i,j) * x[j];
74  }
75 
76  btScalar aDiag = A(i,i);
77  btScalar xOld = x[i];
78  x [i] = (b [i] - delta) / aDiag;
79  btScalar s = 1.f;
80 
81  if (limitDependency[i]>=0)
82  {
83  s = x[limitDependency[i]];
84  if (s<0)
85  s=1;
86  }
87 
88  if (x[i]<lo[i]*s)
89  x[i]=lo[i]*s;
90  if (x[i]>hi[i]*s)
91  x[i]=hi[i]*s;
92  btScalar diff = x[i] - xOld;
93  m_leastSquaresResidual += diff*diff;
94  }
95 
97  if ((m_leastSquaresResidual < eps) || (k >=(numIterations-1)))
98  {
99 #ifdef VERBOSE_PRINTF_RESIDUAL
100  printf("totalLenSqr = %f at iteration #%d\n", m_leastSquaresResidual,k);
101 #endif
102  break;
103  }
104  }
105  return true;
106  }
107 
108 };
109 
110 #endif //BT_SOLVE_PROJECTED_GAUSS_SEIDEL_H
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)
#define btAssert(x)
Definition: btScalar.h:131
#define btMatrixXu
Definition: btMatrixX.h:549
original version written by Erwin Coumans, October 2013
#define btVectorXu
Definition: btMatrixX.h:548
original version written by Erwin Coumans, October 2013
float btScalar
The btScalar type abstracts floating point numbers, to easily switch between double and single floati...
Definition: btScalar.h:292