Design Unit List

Here is a list of all design unit members with links to the Entities and Packages they belong to:
CWiseBase
EigenBase
EigenSelfadjointBase
LDLTBase
LLTBase
LUBase
MathArrayBase
MathDynSparseArrayBase
MathSparseArrayBase
MatrixThe standard dense Matrix/Vector class
MatrixBaseDefines the base class of dense matrices without functionality It is mainly used for interoperation with other modules. This class contains basic functionality (such as setting and extracting values), but not the complete set of methods of Matrix (solvers, etc.)
MatrixColWise
MatrixCWise
MatrixRowWise
QRBase
RowColWiseBase
SparseArpackEigen analyses solver for sparse matrices based on ARPACK
SparseLLTBase class of LL' solvers. The input matrices must be selfadjoint (symmetric) It already implements the standard LL' decomposition
SparseLLTCholmodLL' solver for selfadjoint sparse matrices using CHOLMOD
SparseLowerLLTDefault LL' solver for selfadjoint lowertriangular sparse matrices
SparseLowerLLTCholmodLL' solver for selfadjoint lowertriangular sparse matrices using CHOLMOD
SparseLUBase class of LU solvers. It already implements the standard LU decomposition
SparseLUMUMPSLU solver for sparse matrices using MUMPS
SparseLUUmfPackLU solver for sparse matrices using UMFPACK
SparseMatrixThe default sparse matrix class
SparseMatrixInnerIteratorIterator for inner index of SparseMatrix
SparseMatrixIteratorIterator for outer index of SparseMatrix
SparseSolverThe base class for sparse solvers. It provides a unified interface which can be used by generic algorithms
SparseSuperLULU solver for sparse matrices using SuperLU
SparseUpperLLTDefault LL' solver for selfadjoint uppertriangular sparse matrices
SparseUpperLLTCholmodLL' solver for selfadjoint uppertriangular sparse matrices using CHOLMOD
SVDBase
XMatrixA class that extends Matrix by many convenience methods
XMatrixColWise
XMatrixCWise
XMatrixRowWise

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