
Matrix
 Referenced in 74 articles
[sw04514]
 package Matrix: Sparse and Dense Matrix Classes and Methods , Classes and methods for dense...

LIPSOL
 Referenced in 79 articles
[sw04712]
 large problems. It utilizes Matlab’s sparsematrix datastructure and Application Program Interface facility ... existing, efficient Fortran codes for solving large, sparse, symmetric positive deﬁnite linear systems. Specifically, LIPSOL...

PMA
 Referenced in 90 articles
[sw19126]
 Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical ... Hastie (2009) A penalized matrix decomposition, with applications to sparse principal components and canonical correlation...

LMaFit
 Referenced in 54 articles
[sw12221]
 following problems: Matrix Complete (MC), Sparse Matrix Separation (SMS), Matrix Compressive Sensing...

fields
 Referenced in 44 articles
[sw08187]
 package also contains an implementation of sparse matrix methods for large spatial data sets ... currently requires the sparse matrix (spam) package. But spam is not required for the standard...

softImpute
 Referenced in 53 articles
[sw12263]
 large matrices there is a special sparsematrix class named ”Incomplete” that efficiently handles ... computing lowrank SVDs on large sparse centered matrices (i.e. principal components...

HOMPACK90
 Referenced in 45 articles
[sw00412]
 based, normal flow, quasiNewton augmented Jacobian matrix – are provided for tracking homotopy zero curves ... well as separate routines for dense and sparse Jacobian matrices. A high level driver ... games, support for several sparse matrix data structures, and new iterative algorithms for large sparse...

WSMP
 Referenced in 47 articles
[sw06749]
 parallel sparse linear solver. Watson Sparse Matrix Package (WSMP) is a collection of algorithms ... linear equations whose coefficient matrices are sparse. This highperformance, robust, and easy...

PSPARSLIB
 Referenced in 33 articles
[sw01455]
 iterative solution module for a parallel sparse matrix library (PSPARSLIP) The authors develop ... portable FORTRAN routine for sparse matrix computation. It emphasizes iterative techniques...

JDQR
 Referenced in 455 articles
[sw04021]
 associated eigenvectors of a matrix A. The matrix can be real or complex, Hermitian ... effective especially in case A is sparse and of large size. The JacobiDavidson method...

spam
 Referenced in 27 articles
[sw07965]
 package spam: SPArse Matrix: Set of functions for sparse matrix algebra. Differences with SparseM/Matrix ... only support (essentially) one sparse matrix format, (2) based on transparent and simple structure...

PLCP
 Referenced in 187 articles
[sw04795]
 matrix A may be either full or sparse; computations are made accordingly. This...

CUSP
 Referenced in 38 articles
[sw07563]
 CUSP : A C++ Templated Sparse Matrix Library. Cusp is a library for sparse linear algebra...

JDQZ
 Referenced in 542 articles
[sw07031]
 together with the associated eigenvectors of a matrix pencil Alambda*B. The matrices ... especially in case A and B are sparse and of large size. The JacobiDavidson...

CUSPARSE
 Referenced in 35 articles
[sw07887]
 format; Level 2: operations between a matrix in sparse format and a vector in dense ... format; Level 3: operations between a matrix in sparse format and a set of vectors ... usually be viewed as a dense tall matrix); Conversion: operations that allow conversion between different...

TNPACK
 Referenced in 39 articles
[sw00970]
 Cholesky factorization based on the Yale Sparse Matrix Package. In this paper we briefly describe...

TensorToolbox
 Referenced in 112 articles
[sw04185]
 itself may be dense, sparse, or factored) and a matrix along each mode...

MAD
 Referenced in 24 articles
[sw12534]
 derivatives, we may utilize MATLAB’s sparse matrix class to propagate sparse directional derivatives...

DSPCA
 Referenced in 35 articles
[sw04804]
 decomposition of a covariance matrix into sparse factors, and has wide applications ranging from biology ... largest eigenvalue of a symmetric matrix, where cardinality is constrained, and derive a semidefinite programming ... arising in the direct sparse PCA method...

Sparsity
 Referenced in 13 articles
[sw08686]
 Sparsity: Optimization Framework for Sparse Matrix Kernels. Sparse matrix–vector multiplication is an important computational ... zero structure of the matrix. The SPARSITY system is designed to address these problems ... allowing users to automatically build sparse matrix kernels that are tuned to their matrices ... optimization of two operations: a sparse matrix times a dense vector and a sparse matrix...