Two-Dimensional Singular Value Decomposition

Language: English

Published by Omniscriptum Mär 2026, 2026

6131144338 / 9786131144332

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This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Two-dimensionalsingular value decomposition (2DSVD) computes the low-rank approximationof a set of matrices such as 2D images or weather maps in a manneralmost identical to SVD (singular value decomposition) which computesthe low-rank approximation of a single matrix (or a set of 1Dvectors).In linear algebra, the singular value decomposition (SVD) is animportant factorization of a rectangular real or complex matrix, withmany applications in signal processing and statistics. Applicationswhich employ the SVD include computing the pseudoinverse, least squaresfitting of data, matrix approximation, and determining the rank, rangeand null space of a matrix.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.

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Bibliographic details

Title
Two-Dimensional Singular Value Decomposition
Author
Lambert M. Surhone
Publisher
Omniscriptum Mär 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6131144338
ISBN 13
9786131144332
Item weight
233 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

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