Abstract. We have extended the matrix computation language and environment Matlab to include sparse matrix storage and operations. The only change to the outward appearance of the Matlab language is a pair of commands to create full or sparse matrices. Nearly all the operations of Matlab now apply equally to full or sparse matrices, without any explicit action by the user. The sparse data structure represents a matrix in space proportional to the number of nonzero entries, and most of the operations compute sparse results in time proportional to the number of arithmetic operations on nonzeros. Key words. Matlab, mathematical software, matrix computation, sparse matrix algorithms. AMS subject classications. 65{04, 65F05, 65F20, 65F50, 68N15,...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
The assembly of sparse matrices is a key operation in finite element methods. In this study we analy...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
The full exploitation of the structure of large scale algebraic problems is often crucial for their ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...
Abstract. Matlab*P is a flexible interactive system that enables computational scientists and engine...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
The assembly of sparse matrices is a key operation in finite element methods. In this study we analy...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
Sparse matrix computations arise in many scientific computing problems and for some (e.g.: iterative...
The full exploitation of the structure of large scale algebraic problems is often crucial for their ...
This paper describes two portable packages for general-purpose sparse matrix computations: SPARSKIT...
Over the past few years several proposals have been made for the standardization of sparse matrix st...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
International audienceThe efficiency of a sparse linear algebra operation heavily relies on the abil...
MATLAB is a high-level language and environment for numerical computation, visualization, and progra...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...
Sparse computations are ubiquitous in computational codes, with the sparse matrix-vector (SpMV) mult...