123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118 |
- /*
- Written by Xuchen Han <xuchenhan2015@u.northwestern.edu>
-
- Bullet Continuous Collision Detection and Physics Library
- Copyright (c) 2019 Google Inc. 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.
- */
- #ifndef BT_CONJUGATE_GRADIENT_H
- #define BT_CONJUGATE_GRADIENT_H
- #include "btKrylovSolver.h"
- template <class MatrixX>
- class btConjugateGradient : public btKrylovSolver<MatrixX>
- {
- typedef btAlignedObjectArray<btVector3> TVStack;
- typedef btKrylovSolver<MatrixX> Base;
- TVStack r, p, z, temp;
- public:
- btConjugateGradient(const int max_it_in)
- : btKrylovSolver<MatrixX>(max_it_in, SIMD_EPSILON)
- {
- }
- virtual ~btConjugateGradient() {}
- // return the number of iterations taken
- int solve(MatrixX& A, TVStack& x, const TVStack& b, bool verbose = false)
- {
- BT_PROFILE("CGSolve");
- btAssert(x.size() == b.size());
- reinitialize(b);
- temp = b;
- A.project(temp);
- p = temp;
- A.precondition(p, z);
- btScalar d0 = this->dot(z, temp);
- d0 = btMin(btScalar(1), d0);
- // r = b - A * x --with assigned dof zeroed out
- A.multiply(x, temp);
- r = this->sub(b, temp);
- A.project(r);
- // z = M^(-1) * r
- A.precondition(r, z);
- A.project(z);
- btScalar r_dot_z = this->dot(z, r);
- if (r_dot_z <= Base::m_tolerance * d0)
- {
- if (verbose)
- {
- std::cout << "Iteration = 0" << std::endl;
- std::cout << "Two norm of the residual = " << r_dot_z << std::endl;
- }
- return 0;
- }
- p = z;
- btScalar r_dot_z_new = r_dot_z;
- for (int k = 1; k <= Base::m_maxIterations; k++)
- {
- // temp = A*p
- A.multiply(p, temp);
- A.project(temp);
- if (this->dot(p, temp) < 0)
- {
- if (verbose)
- std::cout << "Encountered negative direction in CG!" << std::endl;
- if (k == 1)
- {
- x = b;
- }
- return k;
- }
- // alpha = r^T * z / (p^T * A * p)
- btScalar alpha = r_dot_z_new / this->dot(p, temp);
- // x += alpha * p;
- this->multAndAddTo(alpha, p, x);
- // r -= alpha * temp;
- this->multAndAddTo(-alpha, temp, r);
- // z = M^(-1) * r
- A.precondition(r, z);
- r_dot_z = r_dot_z_new;
- r_dot_z_new = this->dot(r, z);
- if (r_dot_z_new < Base::m_tolerance * d0)
- {
- if (verbose)
- {
- std::cout << "ConjugateGradient iterations " << k << " residual = " << r_dot_z_new << std::endl;
- }
- return k;
- }
- btScalar beta = r_dot_z_new / r_dot_z;
- p = this->multAndAdd(beta, p, z);
- }
- if (verbose)
- {
- std::cout << "ConjugateGradient max iterations reached " << Base::m_maxIterations << " error = " << r_dot_z_new << std::endl;
- }
- return Base::m_maxIterations;
- }
- void reinitialize(const TVStack& b)
- {
- r.resize(b.size());
- p.resize(b.size());
- z.resize(b.size());
- temp.resize(b.size());
- }
- };
- #endif /* btConjugateGradient_h */
|