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【预订】Low-Rank Approximation: Algorithms, Implementation, Appl 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9783030078171 Author 作者 Markovsky Format 版本 平装-胶订 Pages Number 页数 272页 Publisher 出版社 Springer Publication Date 出版日期 1800-01-01 Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9783319896199 Author 作者 Ivan Markovsky Format 版本 精装 Pages Number 页数 272页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2018-08-17 Language 语种 英语 Book Contents 内容简介 This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. A major part of the text is devoted to application of the theory with a range of applications from systems and control theory to psychometrics being described. Special knowledge of the application fields is not required. The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of: ?variab
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