Sketching as a Tool for Numerical Linear Algebra highlights the recent advances in algorithms for numerical linear algebra that have come from the technique of linear sketching, whereby given a matrix, one first compressed it to a much smaller matrix by multiplying it by a (usually) random matrix with certain properties. Much of the expensive computation can then be performed on the smaller matrix, thereby accelerating the solution for the original problem. The book considers least squares as well as robust regression problems, low rank approximation, and graph sparsification. It also discusses a number of variants of these problems. It concludes by discussing the limitations of sketching methods and briefly looking at some open questions. Sketching as a Tool for Numerical Linear Algebra is an ideal primer for researchers and students of theoretical computer science interested in how sketching techniques can be used to speed up numerical linear algebra applications.
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Specifications
Book Details
Imprint
now publishers Inc
Series & Set Details
Series Name
Foundations and Trends in Theoretical Computer Science
Dimensions
Width
10 mm
Height
234 mm
Length
156 mm
Weight
257 gr
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