SVD Ben Southworth 31 May 2013
نویسنده
چکیده
In this paper we will first introduce the singular value decomposition (SVD) of a matrix and basic theory behind it. We will then go over the general algorithm, along with implementations in SAGE and computational efficiency comparisons with built in libraries. At the end we will discuss principal component analysis and its relation with the SVD as one of many applications.
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