| #ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H |
| #define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H |
| |
| #include "SparseCore" |
| #include "OrderingMethods" |
| |
| #include "src/Core/util/DisableStupidWarnings.h" |
| |
| /** |
| * \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module |
| * |
| * This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse. |
| * Those solvers are accessible via the following classes: |
| * - ConjugateGradient for selfadjoint (hermitian) matrices, |
| * - BiCGSTAB for general square matrices. |
| * |
| * These iterative solvers are associated with some preconditioners: |
| * - IdentityPreconditioner - not really useful |
| * - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices. |
| * - IncompleteILUT - incomplete LU factorization with dual thresholding |
| * |
| * Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport. |
| * |
| * \code |
| * #include <Eigen/IterativeLinearSolvers> |
| * \endcode |
| */ |
| |
| #include "src/misc/Solve.h" |
| #include "src/misc/SparseSolve.h" |
| |
| #include "src/IterativeLinearSolvers/IterativeSolverBase.h" |
| #include "src/IterativeLinearSolvers/BasicPreconditioners.h" |
| #include "src/IterativeLinearSolvers/ConjugateGradient.h" |
| #include "src/IterativeLinearSolvers/BiCGSTAB.h" |
| #include "src/IterativeLinearSolvers/IncompleteLUT.h" |
| |
| #include "src/Core/util/ReenableStupidWarnings.h" |
| |
| #endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H |
