Solver namespace
Module for linear algebra systems.
Classes
-
template<class Scalar>class CG<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- Conjugate gradient solver for self-adjoint problems, for use with Math::
SparseMatrix and Math:: Vector. -
template<class Scalar>class CG<Math::Matrix<Scalar>, Math::Vector<Scalar>>
- Conjugate gradient solver for self-adjoint problems, for use with Math::
Matrix and Math:: Vector. -
template<class Operator, class Vector, class Scalar>class SolverBase
- Abstract base class for linear algebra solvers.
-
template<class EigenSolverType, class OperatorType, class VectorType>class EigenSolver
- Wrapper class for any Eigen sparse solver.
-
template<class OperatorType, class VectorType>class CG
- Conjugate gradient solver for self-adjoint problems.
-
template<class OperatorType, class VectorType>class SimplicialLLT
- Direct sparse LLT Cholesky factorizations.
-
template<class OperatorType, class VectorType>class SimplicialLDLT
- Direct sparse LDLT Cholesky factorizations without square root.
-
template<class OperatorType, class VectorType>class LDLT
- Robust Cholesky decomposition of a dense matrix with pivoting.
-
template<class OperatorType, class VectorType>class HouseholderQR
- Robust Cholesky decomposition of a dense matrix with pivoting.
-
template<class OperatorType, class VectorType>class SparseLU
- Sparse supernodal LU factorization for general matrices.
-
template<class OperatorType, class VectorType>class SparseQR
- Sparse left-looking QR factorization with numerical column pivoting.
-
template<class Scalar>class HouseholderQR<Math::Matrix<Scalar>, Math::Vector<Scalar>>
- A direct sparse HouseholderQR Cholesky factorizations without square root for use with Math::
SparseMatrix and Math:: Vector. -
template<class Scalar>class LDLT<Math::Matrix<Scalar>, Math::Vector<Scalar>>
- A direct sparse LDLT Cholesky factorizations without square root for use with Math::
SparseMatrix<Real> and Math:: Vector<Real>. -
template<class Scalar>class LeastSquaresCG<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- Conjugate gradient solver for self-adjoint problems, for use with Math::
SparseMatrix and Math:: Vector. -
template<class Scalar>class LeastSquaresCG<Math::Matrix<Scalar>, Math::Vector<Scalar>>
- Conjugate gradient solver for self-adjoint problems, for use with Math::
SparseMatrix<Real> and Math:: Vector<Real>. -
template<class Scalar>class SimplicialLDLT<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- A direct sparse LDLT Cholesky factorizations without square root for use with Math::
SparseMatrix<Real> and Math:: Vector<Real>. -
template<class Scalar>class SimplicialLLT<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- A direct sparse LLT Cholesky factorizations for use with Math::
SparseMatrix<Real> and Math:: Vector<Real>. -
template<class Scalar>class SparseLU<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- Sparse supernodal LU factorization for general matrices for use with Math::
SparseMatrix<Real> and Math:: Vector<Real>. -
template<class Scalar>class SparseQR<Math::SparseMatrix<Scalar>, Math::Vector<Scalar>>
- Sparse left-looking QR factorization with numerical column pivoting for use with Math::
SparseMatrix and Math:: Vector.
Functions
-
template<class Scalar>HouseholderQR(Variational::
ProblemBase<Math:: Matrix<Scalar>, Math:: Vector<Scalar>, Scalar>&) -> HouseholderQR< Math::Matrix< Scalar >, Math::Vector< Scalar >> - CTAD for HouseholderQR.
-
template<class Scalar>SimplicialLDLT(Variational::
ProblemBase<Math:: SparseMatrix<Scalar>, Math:: Vector<Scalar>, Scalar>&) -> SimplicialLDLT< Math::SparseMatrix< Scalar >, Math::Vector< Scalar >> - CTAD for SimplicialLDLT.
-
template<class Scalar>SimplicialLLT(Variational::
ProblemBase<Math:: SparseMatrix<Scalar>, Math:: Vector<Scalar>, Scalar>&) -> SimplicialLLT< Math::SparseMatrix< Scalar >, Math::Vector< Scalar >> - CTAD for SimplicialLLT.
-
template<class Scalar>SparseLU(Variational::
ProblemBase<Math:: SparseMatrix<Scalar>, Math:: Vector<Scalar>, Scalar>&) -> SparseLU< Math::SparseMatrix< Scalar >, Math::Vector< Scalar >> - CTAD for SparseLU.
-
template<class Scalar>SparseQR(Variational::
ProblemBase<Math:: SparseMatrix<Scalar>, Math:: Vector<Scalar>, Scalar>&) -> SparseQR< Math::SparseMatrix< Scalar >, Math::Vector< Scalar >> - CTAD for SparseQR.