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So-Bogus
A c++ sparse block matrix library aimed at Second Order cone problems
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#include <KrylovMethods.hpp>
Public Types | |
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typedef Method< Matrix, Preconditioner, Traits > | Derived |
| typedef LinearSolverBase< Derived > | Base |
| typedef Traits::Scalar | Scalar |
| typedef Signal< unsigned, Scalar > | SignalType |
| enum | |
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typedef BlockTraits< typename LinearSolverTraits< Method < Matrix, Preconditioner, Traits > >::MatrixType > | UnderlyingBlockTraits |
Public Member Functions | |
| KrylovSolverBase (const Matrix &A, unsigned maxIters, Scalar tol, const Preconditioner *P, const SignalType *callback) | |
| template<typename RhsT > | |
| LinearSolverTraits< Derived > ::template Result< RhsT > ::Type | solve (const RhsT &rhs) const |
Returns the solution x of the linear system M * x = rhs. | |
| template<typename ResT , typename RhsT > | |
| Scalar | solve (const RhsT &rhs, ResT &x) const |
Returns the solution x of the linear system M * x = rhs. | |
| Derived & | parallelizeRhs (bool parallelize=true) |
| Whether to process multiple rhs in parallel. | |
| Derived & | enableResCaching (bool doCache=true) |
| Whether to enable caching of solve(rhs) result for warmstarting purposes. More... | |
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const Method< Matrix, Preconditioner, Traits > & | derived () const |
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Method< Matrix, Preconditioner, Traits > & | derived () |
Public Attributes | |
| const Matrix * | m_A |
| const Preconditioner * | m_P |
| const SignalType * | m_callback |
| Scalar | m_tol |
| unsigned | m_maxIters |
Protected Attributes | |
| bool | m_parallelizeRhs |
| bool | m_enableResCaching |
Base class for Krylov solvers implementations
| Derived& bogus::krylov::KrylovSolverBase< Method, Matrix, Preconditioner, Traits >::enableResCaching | ( | bool | doCache = true | ) |
Whether to enable caching of solve(rhs) result for warmstarting purposes.