#include "../../Eigen/Sparse"
#include "../../Eigen/src/Core/util/DisableStupidWarnings.h"
#include <vector>
#include <map>
#include <cstdlib>
#include <cstring>
#include <algorithm>
#include "../../Eigen/src/misc/Solve.h"
#include "src/SparseExtra/RandomSetter.h"
#include "src/SparseExtra/Solve.h"
#include "src/SparseExtra/Amd.h"
#include "src/SparseExtra/SimplicialCholesky.h"
#include "src/SparseExtra/SparseLLT.h"
#include "src/SparseExtra/SparseLDLTLegacy.h"
#include "src/SparseExtra/SparseLU.h"
#include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"

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Classes
struct	Eigen::DefaultBackend
struct	Eigen::internal::traits< solve_retval_base< DecompositionType, Rhs > >
class	Eigen::internal::solve_retval_base< _DecompositionType, Rhs >
struct	Eigen::StdMapTraits< Scalar >
	Represents a std::map. More...
class	Eigen::RandomSetter< SparseMatrixType, MapTraits, OuterPacketBits >
	The RandomSetter is a wrapper object allowing to set/update a sparse matrix with random access. More...
struct	Eigen::RandomSetter< SparseMatrixType, MapTraits, OuterPacketBits >::ScalarWrapper
struct	Eigen::internal::traits< sparse_solve_retval_base< DecompositionType, Rhs > >
struct	Eigen::internal::sparse_solve_retval_base< _DecompositionType, Rhs >
class	Eigen::SimplicialCholesky< _MatrixType, _UpLo >
	A direct sparse Cholesky factorization. More...
struct	Eigen::SimplicialCholesky< _MatrixType, _UpLo >::keep_diag
	keeps off-diagonal entries; drops diagonal entries More...
struct	Eigen::internal::solve_retval< SimplicialCholesky< _MatrixType, _UpLo >, Rhs >
struct	Eigen::internal::sparse_solve_retval< SimplicialCholesky< _MatrixType, _UpLo >, Rhs >
class	Eigen::SparseLLT< _MatrixType, Backend >
	LLT Cholesky decomposition of a sparse matrix and associated features. More...
struct	Eigen::internal::solve_retval< SparseLLT< _MatrixType >, Rhs >
class	Eigen::SparseLDLT< _MatrixType, Backend >
	LDLT Cholesky decomposition of a sparse matrix and associated features. More...
struct	Eigen::internal::solve_retval< SparseLDLT< _MatrixType >, Rhs >
class	Eigen::SparseLU< _MatrixType, Backend >
	LU decomposition of a sparse matrix and associated features. More...
Namespaces
namespace	Eigen
	Namespace containing all symbols from the Eigen library.
namespace	Eigen::internal
	Applies the clock wise 2D rotation j to the set of 2D vectors of cordinates x and y: $\left ( \begin{array}{cc} x \\ y \end{array} \right ) = J \left ( \begin{array}{cc} x \\ y \end{array} \right )$
Defines
#define	EIGEN_SPARSE_EXTRA_MODULE_H
Enumerations
enum	{ Eigen::CompleteFactorization = 0x0000, Eigen::IncompleteFactorization = 0x0001, Eigen::MemoryEfficient = 0x0002, Eigen::SupernodalMultifrontal = 0x0010, Eigen::SupernodalLeftLooking = 0x0020, Eigen::NaturalOrdering = 0x0100, Eigen::MinimumDegree_AT_PLUS_A = 0x0200, Eigen::MinimumDegree_ATA = 0x0300, Eigen::ColApproxMinimumDegree = 0x0400, Eigen::Metis = 0x0500, Eigen::Scotch = 0x0600, Eigen::Chaco = 0x0700, Eigen::OrderingMask = 0x0f00 }
enum	Eigen::SimplicialCholeskyMode { Eigen::SimplicialCholeskyLLt, Eigen::SimplicialCholeskyLDLt }
enum	{ Eigen::SvNoTrans = 0, Eigen::SvTranspose = 1, Eigen::SvAdjoint = 2 }
Functions
template<typename Index >
static int	Eigen::internal::cs_wclear (Index mark, Index lemax, Index *w, Index n)
template<typename Index >
Index	Eigen::internal::cs_tdfs (Index j, Index k, Index head, const Index next, Index post, Index stack)
template<typename Scalar , typename Index >
void	Eigen::internal::minimum_degree_ordering (SparseMatrix< Scalar, ColMajor, Index > &C, PermutationMatrix< Dynamic > &perm)

Define Documentation

#define EIGEN_SPARSE_EXTRA_MODULE_H

Definition at line 2 of file SparseExtra.

Classes

Namespaces

Defines

Enumerations

Functions

Define Documentation