
INTOPT_90
 Referenced in 304 articles
[sw04705]
 lists and automatic differentiation. The chapter on preconditioning (32 pages) contains some of the authors...

CGS
 Referenced in 301 articles
[sw08225]
 squared” conjugate gradient method) with a preconditioning called ILLU (an incomplete lineLUfactorization...

AUSM
 Referenced in 253 articles
[sw06367]
 solution remains stable, even if no local preconditioning matrix is included in the time derivative...

IFISS
 Referenced in 229 articles
[sw04398]
 experimenting with stateoftheart preconditioned iterative solvers for the discrete linear equation systems...

lobpcg.m
 Referenced in 118 articles
[sw24008]
 MATLAB implementation of the locally optimal block preconditioned conjugate gradient method: Toward the optimal preconditioned ... eigensolver: Locally optimal block preconditioned conjugate gradient method. We describe new algorithms of the locally ... optimal block preconditioned conjugate gradient (LOBPCG) method for symmetric eigenvalue problems, based on a local ... ideal” control algorithm, we advocate the standard preconditioned conjugate gradient method for finding an eigenvector...

ODEPACK
 Referenced in 189 articles
[sw08341]
 systems that arise. Two others use iterative (preconditioned Krylov) methods instead of direct methods...

GOLOG
 Referenced in 169 articles
[sw02159]
 basis of user supplied axioms about the preconditions and effects of actions and the initial...

ML
 Referenced in 121 articles
[sw08067]
 Multilevel Preconditioning Package. Welcome to the homepages for ML, Sandia’s main multigrid preconditioning package...

tn
 Referenced in 129 articles
[sw05140]
 terminate the iterations earlier. A preconditioned truncated Newton method is described that defines a search...

TRON
 Referenced in 109 articles
[sw04714]
 method to generate a Cauchy step, a preconditioned conjugate gradient method with an incomplete Cholesky...

ARMS
 Referenced in 63 articles
[sw00048]
 paper describes new recursive multilevel method for preconditioning of general sparse linear systems. This strategy ... level iterations. Assumptions, under which the new preconditioning is exact, are given together with ... proof that eigenvalues of the preconditioned matrix are close to 1. par Extensive numerical tests...

NITSOL
 Referenced in 89 articles
[sw00623]
 great flexibility in addressing problem specificity through preconditioning and other means and allows easy adaptation...

BILUM
 Referenced in 49 articles
[sw04015]
 linear systems by using Krylov subspace methods preconditioned by some multilevel block ILU (BILUM ... preconditioning techniques. BILUM combines the benefits of generality and robustness of ILU preconditioning techniques with ... solved by a direct method or a preconditioned iterative method...

Aztec
 Referenced in 83 articles
[sw12817]
 transformations for the matrixvector multiplication and preconditioning. After the transformations, the iterative solvers...

YSMP
 Referenced in 72 articles
[sw17947]
 release will also include a number of preconditioned conjugategradientlike methods as described...

ILUM
 Referenced in 62 articles
[sw07244]
 preconditioner for general sparse matrices Standard preconditioning techniques based on incomplete LU (ILU) factorizations offer...

PRIMME
 Referenced in 41 articles
[sw04023]
 PRIMME: PReconditioned Iterative MultiMethod Eigensolver. Symmetric and Hermitian eigenvalue problems enjoy a remarkable theoretical structure ... conditioning, and thus the use of preconditioning becomes essential...

EIGIFP
 Referenced in 39 articles
[sw00235]
 blackbox implementation of an inverse free preconditioned Krylov subspace projection method developed by Golub ... particularly suitable for problems where preconditioning by the standard shiftandinvert transformation...

CVODE
 Referenced in 54 articles
[sw04947]
 direct (dense and band) solvers and three preconditioned Krylov (iterative) solvers (GMRES, BiCGStab...

RTRMC
 Referenced in 33 articles
[sw20435]
 RTRMC : Lowrank matrix completion via preconditioned optimization on the Grassmann manifold. We address ... conditioning of the problem and we detail preconditioned versions of Riemannian optimization algorithms. The cost ... further note that secondorder and preconditioned methods are well suited to solve badly conditioned...