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							40 lines
						
					
					
						
							1.6 KiB
						
					
					
				| #ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H | |
| #define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H | |
| 
 | |
| #include "SparseCore" | |
| #include "OrderingMethods" | |
| 
 | |
| #include "src/Core/util/DisableStupidWarnings.h" | |
| 
 | |
| /** \ingroup Sparse_modules | |
|   * \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
 |