
ARPACK
 Referenced in 794 articles
[sw04218]
 most appropriate for large sparse or structured matrices A where structured means that a matrix ... Shifted QR technique that is suitable for large scale problems. For many standard problems...

SparseMatrix
 Referenced in 646 articles
[sw04629]
 Matrix Collection, a large and actively growing set of sparse matrices that arise in real...

Expokit
 Referenced in 180 articles
[sw00258]
 full, the action of a large sparse matrix exponential on an operand vector ... with constant inhomogeneity. The backbone of the sparse routines consists of matrixfree Krylov subspace ... capable of coping with sparse matrices of large dimension. The software handles real and complex...

svdpack
 Referenced in 60 articles
[sw04819]
 singular value decomposition (SVD) of large sparse matrices using double precision ANSI Fortran ... left and rightsingular vectors) for large sparse matrices. The package has been ported ... need to compute large rank approximations to sparse termdocument matrices from information retrieval applications ... used, for example, to handle extremely large sparse matrices (on the order of a million...

Eigtool
 Referenced in 495 articles
[sw07020]
 computing pseudospectra of dense and sparse matrices. It also provides a graphical interface to MATLAB ... builtin eigs routine (ARPACK) for largescale eigenvalue computations...

QETLAB
 Referenced in 57 articles
[sw20493]
 both with full matrices and with large sparse matrices, and makes use of many advanced...

JDQZ
 Referenced in 580 articles
[sw07031]
 matrix pencil Alambda*B. The matrices can be real or complex, Hermitian ... case A and B are sparse and of large size. The JacobiDavidson method...

softImpute
 Referenced in 63 articles
[sw12263]
 current estimate. For large matrices there is a special sparsematrix class named ”Incomplete” that ... computing lowrank SVDs on large sparse centered matrices (i.e. principal components...

PROPACK
 Referenced in 104 articles
[sw04019]
 singular value decomposition of large and sparse or structured matrices. The SVD routines are based...

HOMPACK90
 Referenced in 45 articles
[sw00412]
 separate routines for dense and sparse Jacobian matrices. A high level driver for the special ... iterative algorithms for large sparse Jacobian matrices...

SparseM
 Referenced in 23 articles
[sw10534]
 least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization ... speed are possible for applications involving large sparse matrices...

ParMETIS
 Referenced in 131 articles
[sw04697]
 computing fillreducing orderings of sparse matrices. ParMETIS extends the functionality provided by METIS ... especially suited for parallel AMR computations and large scale numerical simulations. The algorithms implemented...

WSMP
 Referenced in 47 articles
[sw06749]
 efficiently solving large systems of linear equations whose coefficient matrices are sparse. This highperformance...

PHSVDS
 Referenced in 11 articles
[sw13690]
 singular triplets of large, sparse matrices is a challenging task, especially when the smallest magnitude...

JADAMILU
 Referenced in 18 articles
[sw01424]
 computing selected eigenvalues of large sparse symmetric matrices A new software code for computing selected...

ITPACK
 Referenced in 47 articles
[sw00459]
 solving large systems of linear algebraic equations with sparse coefficient matrices. The emphasis...

SuperLU
 Referenced in 179 articles
[sw00930]
 library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high ... factorization routines can handle nonsquare matrices but the triangular solves are performed only...

irlba
 Referenced in 7 articles
[sw21041]
 Principal Components Analysis for Large Dense and Sparse Matrices. Fast and memory efficient methods ... principal components analysis of large sparse and dense matrices...

Maxplus
 Referenced in 5 articles
[sw07218]
 allows one in particular to handle large sparse matrices. It also has an experimental part...