Add to ORKGThe purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It would be difficult to exaggerate the importance of sparse matrices in the realm of large-scale scientific computing. For problems such as those that require the discrete approximation to partial differential equations1, very large and sparse matrice
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
The numerical determination of the eigenvalues and eigenvectors of large-order sparse matrice
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
In the last decade, the demand for statistical and computation methods for data analysis that involv...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Sparse matrix-vector multiplications are essential in the numerical resolution of partial differenti...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...
The purpose of this project was to provide sparse matrix functionality to the users of MATLAB*P. It ...
Abstract. Matlab*P is a flexible interactive system that enables com-putational scientists and engin...
Abstract. We have extended the matrix computation language and environment Matlab to include sparse ...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the pack...
The numerical determination of the eigenvalues and eigenvectors of large-order sparse matrice
ProceedingsSponsored by the Office of Naval Research and others.Bibliography: p. 191-210
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientifi...
In the last decade, the demand for statistical and computation methods for data analysis that involv...
The University of Florida Sparse Matrix Collection is a large, widely available, and actively growin...
Vector computers have been extensively used for years in matrix algebra to treat with large dense ma...
Sparse matrix-vector multiplications are essential in the numerical resolution of partial differenti...
Version of paper at conf. on sparse matrices and their uses 9-11 Jul 1980SIGLEAvailable from British...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Today most real life applications require processing large amounts of data (i.e. ”Big Data”). The pa...