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Convex Analysis and Minimization Algorithms I: Fundamentals: 305 (Grundlehren der mathematischen Wissenschaften) - Hardcover
Inhaltsangabe
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.
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Críticas
From the reviews: "... The book is very well written, nicely illustrated, and clearly understandable even for senior undergraduate students of mathematics... Throughout the book, the authors carefully follow the recommendation by A. Einstein: 'Everything should be made as simple as possible, but not simpler.'"
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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.
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- VerlagSpringer
- Erscheinungsdatum1996
- ISBN 10 3540568506
- ISBN 13 9783540568506
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten444
- Kontakt zum HerstellerNicht verfügbar
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Convex Analysis and Minimization Algorithms I : Fundamentals
Verlag:
Springer Berlin Heidelberg, 1996
ISBN 10: 3540568506
ISBN 13: 9783540568506
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Hardcover
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Zustand: Gut. Zustand: Gut | Seiten: 442 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 398794/203
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CONVEX ANALYSIS AND MINIMIZATION ALGORITHMS. [VOL.] I. FUNDAMENTALS (GRUNDLEHREN DER MATHEMATISCHEN WISSENSCHAFTEN ; 305)
Verlag:
Springer-Verlag, Berlin, 1996
ISBN 10: 3540568506
ISBN 13: 9783540568506
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Hardcover
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Hardcover. Second corrected printing. Octavo, Volume 1 only: xvii, 418 pages. In Good condition. Spine is yellow with black print. Boards in yellow cloth with black print Light wear to spine caps, slight smudge on front fore edge, vendor label on rear panel. Text block has bookplate on front pastedown. Series ISSN: 0072-7830. NOTE: Shelved in Netdesk Column P. 1389975. FP New Rockville Stock. Artikel-Nr. 1389975
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Convex Analysis and Minimization Algorithms I : Fundamentals
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783540568506
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Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften, 305)
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