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Sparse matrices in Matlab: Design and implementation (1991)
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@TECHREPORT{Gilbert91sparsematrices,
author = {John R. Gilbert},
title = {Sparse matrices in Matlab: Design and implementation},
institution = {},
year = {1991}
}
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Abstract
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, 68R10. 1. Introduction. Matlab
Keyphrases
sparse matrix am subject classications outward appearance key word matrix computation environment matlab sparse data structure sparse matrix storage sparse result sparse matrix algorithm matlab language space proportional mathematical software matrix computation language arithmetic operation explicit action nonzero entry
