
filterSQP
 Referenced in 57 articles
[sw04725]
 solution of Nonlinear Programming (NLP) problems. The package implements a Sequential Quadratic Programming solver with ... solver runs with a dense or a sparse linear algebra package and a robust...

ScaLAPACK
 Referenced in 410 articles
[sw00830]
 algebra package or scalable LAPACK. It is a library of highperformance linear algebra routines ... libraries contain routines for solving systems of linear equations, least squares problems, and eigenvalue problems ... routines for the solution of dense, band, and tridiagonal linear systems of equations, condition estimation ... Cholesky factorization, matrix inversion, fullrank linear least squares problems, orthogonal and generalized orthogonal factorizations...

POOCLAPACK
 Referenced in 16 articles
[sw07034]
 Parallel Linear Algebra Package (PLAPACK) for incore parallel dense linear algebra computation. Despite...

Tpetra
 Referenced in 6 articles
[sw10747]
 Tpetra package implements linear algebra objects. These includes sparse graphs, sparse matrices, and dense vectors ... applications produce, modify, or consume Tpetra’s linear algebra objects, or depend on Tpetra...

JAMA
 Referenced in 18 articles
[sw08902]
 Matrix Package. JAMA is a basic linear algebra package for Java. It provides userlevel ... classes for constructing and manipulating real, dense matrices. It is meant to provide sufficient functionality...

ReLAPACK
 Referenced in 3 articles
[sw22691]
 highly tuned kernels, dense linear algebra libraries, such as linear algebra package (LAPACK), commonly implement...

HSL_MA77
 Referenced in 15 articles
[sw13924]
 paid to the use of efficient dense linear algebra kernel codes that handle the full ... input/output operations are performed using a separate package that provides a virtualmemory system...

FATODE
 Referenced in 7 articles
[sw11044]
 implementation, code organization, and usage of this package. Fatode implements four families of methods: explicit ... dense and sparse linear algebra are used; users can easily incorporate problemtailored linear algebra ... routines. The performance of the package is demonstrated on several test problems. To the best...

RcppEigen
 Referenced in 18 articles
[sw10610]
 linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices ... decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms ... Lapack and level3 BLAS. The RcppEigen package includes the header files from the Eigen...

UJMP
 Referenced in 3 articles
[sw13256]
 Package (UJMP) is an open source library for dense and sparse matrix computations and linear ... algebra in Java. In addition to the basic operations like matrix multiplication, matrix inverse...

HPIPM
 Referenced in 2 articles
[sw26962]
 quadratic programs. It provides efficient implementations of dense and structureexploiting algorithms to solve small ... relies on the highperformance linear algebra package BLASFEO...

HPL
 Referenced in 9 articles
[sw21404]
 software package that solves a (random) dense linear system in double precision (64 bits) arithmetic ... lookahead of depth 1. The HPL package provides a testing and timing program ... processor memory usage. The HPL software package requires the availibility on your system ... implementation of either the Basic Linear Algebra Subprograms BLAS or the Vector Signal Image Processing...

RElem
 Referenced in 0 articles
[sw17409]
 statistical analyses are largely based on dense linear algebra operations, which have been deeply studied ... open source package that integrates the distributed dense linear algebra library Elemental into R. While...

Meta Matrix Library
 Referenced in 0 articles
[sw05724]
 numerical linear algebra algorithms for sparse and dense matrices. The dense matrix and vector operations ... package are based on LAPACK and BLAS (focused upon ATLAS). Beyond this, MEML supports UMFPACK ... SuperLU projected) as a solver for linear systems of equations with sparse matrices. MEML...

fdapace
 Referenced in 4 articles
[sw15968]
 Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA ... functional data analysis, for sparsely or densely sampled random trajectories and time courses ... Eigen’ C++ library for numerical linear algebra and ’RcppEigen’ ”glue...

KINSOL
 Referenced in 7 articles
[sw04323]
 KINSOL is a solver for nonlinear algebraic systems based on NewtonKrylov solver technology ... language, based on the previous Fortran package NKSOL of Brown and Saad. KINSOL employs ... methods are provided to solve the resulting linear systems  GMRES, BiCGStab, and TFQMR. These ... with smaller systems, KINSOL also includes direct (dense and band) linear solvers for the linear...

PyLops
 Referenced in 2 articles
[sw30606]
 Operator Python Library for large scale optimization. Linear operators and optimisation are at the core ... software packages (e.g., MATLAB, Python numpy and scipy) allow for explicitly building dense (or sparse ... matrices and performing algebraic operations (e.g., computation of matrixvector products and manipulation of matrices ... forcing practitioners to forego of the convenient linearalgebra syntax available for their explicitmatrix...

Sheafhom 2.0
 Referenced in 1 article
[sw00854]
 freeware package for large sparse linear algebra computations over the integers and other exact number ... Smith normal form of sparse matrices, and dense algorithms for LLL and Hermite normal form ... tuning the algorithms for specific applications. The package is motivated by algebraic topology, and provides...

HPEC
 Referenced in 1 article
[sw03700]
 high performance eigenvalues computation), a parallel software package for the evaluation of some eigenvalues ... based on basic linear algebra operations for sparse and dense matrices, some of which have...

borderbasix
 Referenced in 1 article
[sw16958]
 other methods implemented in this package: numerical solutions from multiplication matrices, real radical computation, polynomial ... rational arithmetic. It relies on linear algebra solvers for dense and sparse matrices for these...