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Titlebook: Convex Analysis and Minimization Algorithms I; Fundamentals Jean-Baptiste Hiriart-Urruty,Claude Lemaréchal Book 1993 Springer-Verlag Berlin

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書(shū)目名稱Convex Analysis and Minimization Algorithms I
副標(biāo)題Fundamentals
編輯Jean-Baptiste Hiriart-Urruty,Claude Lemaréchal
視頻videohttp://file.papertrans.cn/238/237826/237826.mp4
叢書(shū)名稱Grundlehren der mathematischen Wissenschaften
圖書(shū)封面Titlebook: Convex Analysis and Minimization Algorithms I; Fundamentals Jean-Baptiste Hiriart-Urruty,Claude Lemaréchal Book 1993 Springer-Verlag Berlin
描述Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. As such, it can easily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title of the book, reflect the two origins of the authors, who belong respectively to the academic world and to that of applications. Part I can be used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books.
出版日期Book 1993
關(guān)鍵詞Convex Analysis; Mathematical Programming; Nonsmooth Optimization; Numerical Algorithms; algorithms; oper
版次1
doihttps://doi.org/10.1007/978-3-662-02796-7
isbn_softcover978-3-642-08161-3
isbn_ebook978-3-662-02796-7Series ISSN 0072-7830 Series E-ISSN 2196-9701
issn_series 0072-7830
copyrightSpringer-Verlag Berlin Heidelberg 1993
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0072-7830 e used as an introductory textbook (as a basis for courses, or for self-study); Part II continues this at a higher technical level and is addressed more to specialists, collecting results that so far have not appeared in books.978-3-642-08161-3978-3-662-02796-7Series ISSN 0072-7830 Series E-ISSN 2196-9701
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Book 1993asily be integrated into a graduate study curriculum. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research. These two topics making up the title
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Convex Analysis and Minimization Algorithms I978-3-662-02796-7Series ISSN 0072-7830 Series E-ISSN 2196-9701
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J. O. C. Vanlerberghe,L. GysemansA good mastering of the following subjects: basic results from real analysis; definition and elementary properties of convex sets in ?.; elementary geometry in the affine space ?..
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Additive Manufacturing SolutionsSome knowledge of computer programming; elementary differential calculus in ?. : inner products, gradient vectors, Hessian operators.
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