Low Rank Approximation pdf epub mobi txt 電子書下載 2024

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Markovsky, Ivan

Springer London Ltd

2011-11

266

$ 123.17

9781447122265

圖書標籤: 數學 system recommended

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发表于2024-11-23

Low Rank Approximation epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Low Rank Approximation pdf epub mobi txt 電子書下載 2024

圖書描述

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. Much of the text is devoted to describing the applications of the theory including: system and control theory; signal processing; computer algebra for approximate factorization and common divisor computation; computer vision for image deblurring and segmentation; machine learning for information retrieval and clustering; bioinformatics for microarray data analysis; chemometrics for multivariate calibration; and psychometrics for factor analysis. Software implementation of the methods is given, making the theory directly applicable in practice. All numerical examples are included in demonstration files giving hands-on experience and exercises and MATLAB(R) examples assist in the assimilation of the theory.

Low Rank Approximation 下載 mobi epub pdf txt 電子書