文章基本信息

标题：Approximation theory of matrices based on its low ranking and stochastic computation
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作者：Behrouz Fathi-Vajargah ; Ateyeh Jahanbin
期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2012
卷号：2
期号：1
页码：270-280
语种：English
出版社：World Science Publisher
摘要：This work presents that the way to use the successful approximation of a desired matrix based on stochastic and SVD algorithms and compared their results together.
关键词：Low rank;Randomized algorithm;Monte Carlo method;Singular value decomposition;Matrix multiplication.