Implements a conjugate gradient method as sparse linear algebra solver for non-symmetric linear systems. More...
#include <normal_conjugate_gradient_method.hpp>
Protected Member Functions | |
virtual returnValue | applyInversePreconditioner (double *x_) |
virtual returnValue | applyPreconditioner (double *b) |
virtual returnValue | computePreconditioner (double *A_) |
virtual void | multiply (double *xx, double *result) |
Protected Member Functions inherited from ConjugateGradientMethod | |
double | scalarProduct (double *aa, double *bb) |
Protected Member Functions inherited from SparseSolver | |
returnValue | clear () |
returnValue | copy (const SparseSolver &rhs) |
Protected Attributes | |
int ** | index |
double * | iResult |
int * | nIndex |
Protected Attributes inherited from ConjugateGradientMethod | |
double * | A |
double * | condScale |
int | dim |
int | nDense |
double * | norm2 |
double ** | p |
int | pCounter |
PrintLevel | printLevel |
double * | r |
double | TOL |
double * | x |
Implements a conjugate gradient method as sparse linear algebra solver for non-symmetric linear systems.
The class NormalConjugateGradientMethod is a conjugate gradient method
which allows to specify any (possibly non-symetric) matrix A. This
method might not work properly for highly ill-conditioned systems. If
the matrix A is symmetric and positive definite the class
SymmetricConjugateGradientMethod should be preferred.
Definition at line 58 of file normal_conjugate_gradient_method.hpp.
BEGIN_NAMESPACE_ACADO NormalConjugateGradientMethod::NormalConjugateGradientMethod | ( | ) |
Default constructor.
Definition at line 46 of file normal_conjugate_gradient_method.cpp.
NormalConjugateGradientMethod::NormalConjugateGradientMethod | ( | const NormalConjugateGradientMethod & | arg | ) |
Copy constructor (deep copy).
Definition at line 55 of file normal_conjugate_gradient_method.cpp.
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virtual |
Destructor.
Definition at line 88 of file normal_conjugate_gradient_method.cpp.
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protectedvirtual |
Applies the inverse of the preconditioner to the vector x (only internal use)
Implements ConjugateGradientMethod.
Definition at line 290 of file normal_conjugate_gradient_method.cpp.
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protectedvirtual |
Applies the preconditioner to the vector b (only internal use)
Implements ConjugateGradientMethod.
Definition at line 264 of file normal_conjugate_gradient_method.cpp.
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Clone operator (deep copy).
Implements ConjugateGradientMethod.
Definition at line 105 of file normal_conjugate_gradient_method.cpp.
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protectedvirtual |
Computes the preconditioner and Applies it to the input matrix.
Implements ConjugateGradientMethod.
Definition at line 227 of file normal_conjugate_gradient_method.cpp.
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protectedvirtual |
Evaluates the matrix-vector product result = A*xx efficiently. (only internal use)
Implements ConjugateGradientMethod.
Definition at line 196 of file normal_conjugate_gradient_method.cpp.
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Sets an index list containing the positions of the
non-zero elements in the matrix A.
Implements ConjugateGradientMethod.
Definition at line 111 of file normal_conjugate_gradient_method.cpp.
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Sets an index list containing the positions of the
non-zero elements in the matrix A.
Definition at line 117 of file normal_conjugate_gradient_method.cpp.
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protected |
Definition at line 120 of file normal_conjugate_gradient_method.hpp.
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protected |
Definition at line 123 of file normal_conjugate_gradient_method.hpp.
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protected |
Definition at line 121 of file normal_conjugate_gradient_method.hpp.