Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

tmath::LuaMatrix	Internal
tmath::LuaMatrixBlock	Internal
tmath::Matrix	Standard matrix class
tmath::MatrixBlock	A generic view onto parts of a Matrix
tmath::MatrixCWise	Coefficient wise access to Matrix
tmath::MatrixEigenSym	Eigen decomposition of symmetric matrices
tmath::MatrixEigenUnsym	Eigen decomposition of unsymmetric matrices
tmath::MatrixLDLt	Cholesky LDL' decomposition
tmath::MatrixLLt	Cholesky LL' decomposition
tmath::MatrixLU	LU decomposition
tmath::MatrixQR	QR decomposition
tmath::MatrixSVD	Singular value decomposition
tmath::sparse::DynamicSparseMatrix	Sparse matrix class for random access
tmath::sparse::MUMPS	Solver for sparse matrices using MUMPS
tmath::sparse::SparseArpack	Eigen analyses solver for sparse matrices based on ARPACK
tmath::sparse::SparseLLT	Base class of LL' solvers. The input matrices must be selfadjoint (symmetric) It already implements the standard LL' decomposition
tmath::sparse::SparseLLTCholmod	LL' solver for selfadjoint sparse matrices using CHOLMOD
tmath::sparse::SparseLowerLLT	Default LL' solver for selfadjoint lowertriangular sparse matrices
tmath::sparse::SparseLowerLLTCholmod	LL' solver for selfadjoint lowertriangular sparse matrices using CHOLMOD
tmath::sparse::SparseLU	Base class of LU solvers. It already implements the standard LU decomposition
tmath::sparse::SparseLUUmfPack	LU solver for sparse matrices using UMFPACK
tmath::sparse::SparseMatrix	The default sparse matrix class
tmath::sparse::SparseSolver	The base class for sparse solvers. It provides a unified interface which can be used by generic algorithms
tmath::sparse::SparseSuperLU	LU solver for sparse matrices using SuperLU
tmath::sparse::SymSparseMatrix	Symmetric sparse matrix class with selfadjoint storage