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Titlebook: Selected Applications of Convex Optimization; Li Li Textbook 2015 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg

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书目名称Selected Applications of Convex Optimization
编辑Li Li
视频video
概述Presents applications of convex optimization issues arranged in a synthetic way.Demonstrates the interplay of convex optimization theory and applications of carefully designed Matlab sample codes.Intr
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Selected Applications of Convex Optimization;  Li Li Textbook 2015 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg
描述This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
出版日期Textbook 2015
关键词Convex Optimization; Convex Relaxation; Expectation Maximization; Linear Matrix Inequalities; Support Ve
版次1
doihttps://doi.org/10.1007/978-3-662-46356-7
isbn_softcover978-3-662-46355-0
isbn_ebook978-3-662-46356-7Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightTsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015
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1931-6828 applications of carefully designed Matlab sample codes.IntrThis book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxatio
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omic fields, including Iwasawa‘s theory of Zp-extensions, which was accessible to mathematicians of varying backgrounds. The reader is assumed to have had at least one semester of algebraic number theory (though one of my students took such a course concurrently). In particular, the following terms
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Parameter Estimations,In this chapter, we study parameter estimations from the viewpoint of optimization.
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