
SPARSEM
 Referenced in 5 articles
[sw00894]
 subroutine package to operate with large sparse matrices. We present here a subroutine package...

POWEV
 Referenced in 3 articles
[sw00727]
 evaluate eigenvalues and eigenvectors of large sparse matrices. We present here a FORTRAN subroutine package ... computers, possessing the capacity of storing large arrays in high speed memory; and we find ... adequate to be applied to very large sparse matrices, especially in those situations where...

SuperLUDIST
 Referenced in 87 articles
[sw00002]
 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...

SQOPT
 Referenced in 18 articles
[sw07860]
 primarily intended for large linear and quadratic problems with sparse constraint matrices. A quadratic term ... includes a reliable basis package (for maintaining sparse LU factors of the basis matrix ... part of the SNOPT package for largescale nonlinearly constrained optimization. The source code...

TMG
 Referenced in 9 articles
[sw04180]
 MATLAB Toolbox for Generating TermDocument Matrices from Text Collections A wide range of computational ... presented in the form of large sparse termdocument matrices (tdm). We present...

LSSOL
 Referenced in 17 articles
[sw07785]
 treats all matrices as dense, and is not intended for large sparse problems...

SPQR_RANK
 Referenced in 2 articles
[sw10036]
 numerical rank of large, sparse, numerically rankdeficient matrices. The routines can also calculate orthonormal ... least squares problems involving rankdeficient matrices, and basic solutions to these problems. The algorithms ... routine for forming QR factorizations of large, sparse matrices. It returns an estimate ... routines work well for matrices with either small or large null space dimensions...

NSWC
 Referenced in 11 articles
[sw09119]
 polynomials, vectors, matrices, large dense systems of linear equations, banded matrices, sparse matrices, eigenvalues...

SPAR
 Referenced in 3 articles
[sw02379]
 system of equations. Very large and very sparse system matrices result from large finiteelement ... efficiently storing and performing computations on sparse matrices. SPAR consists of an alternate method ... representing sparse matrices and an architecture that efficiently executes computations on the proposed data structure ... simulator and executed the sparse matrix computations used with some large finite element applications...

smt
 Referenced in 14 articles
[sw09205]
 toolbox for structured matrices. The full exploitation of the structure of large scale algebraic problems ... computational environment which supports sparse matrices, besides full ones, and allows...

MERAM
 Referenced in 5 articles
[sw12819]
 calculating some eigenpairs of large sparse nonHermitian matrices. This method, called multiple explicitly restarted...

NSPCG
 Referenced in 30 articles
[sw00636]
 procedures. It is designed to solve large sparse systems of linear algebraic equations ... research on iterative methods for nonsymmetric matrices. Another purpose for the development of the package ... number of diagonals to completely unstructured sparse matrices. Alternatively, the package allows the user ... preconditioners. The user can select from a large collection of accelerators such as conjugate gradient...

svt
 Referenced in 1 article
[sw37232]
 which seeks the singular values of a large matrix exceeding a threshold and their associated ... iterative method but is only efficient for sparse matrix input, while aforementioned statistical learning algorithms ... singular value thresholding on dense but structured matrices. To address this issue, we provide ... value decomposition and thresholding, handles both large sparse matrices and structured matrices, and reduces...

Expokit.jl
 Referenced in 1 article
[sw29335]
 matrix exponentials on vectors for large sparse matrices. For more details about the methods...

QPSOL
 Referenced in 7 articles
[sw26106]
 constraints as dense matrices, and hence is not intended for large sparse problems. This document...

AmgX
 Referenced in 11 articles
[sw13440]
 preconditioned iterative methods. The solution of large sparse linear systems arises in many applications, such ... simulation. In realistic cases the matrices are often so large that they require large scale...

CONTEST
 Referenced in 19 articles
[sw12738]
 controllable test toolbox for MATLAB. Large, sparse networks that describe complex interactions are a common ... life networks. These models provide realistic, parametrized matrices for testing linear system and eigenvalue solvers...

Amesos2
 Referenced in 11 articles
[sw18349]
 Large Sparse Linear Systems. Solvers for large sparse linear systems come in two categories: direct ... different sparse matrix factorization codes, and can handle any implementation of sparse matrices and vectors ... traits interface. It can also factor matrices whose entries have arbitrary “Scalar” type, enabling extended ... many different iterative methods for solving large sparse linear systems and leastsquares problems. Unlike...

OSKI
 Referenced in 26 articles
[sw07006]
 provide automatically tuned computational kernels on sparse matrices, for use in solver libraries and applications ... providing basic kernels like sparse matrixvector multiply and sparse triangular solve, among others ... developing extensions for vector architectures, SMPs, and largescale distributed memory machines...