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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.'"
Reseña del editor
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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Zustand: Gut. Zustand: Gut | Seiten: 442 | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 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. 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. Bestandsnummer des Verkäufers 1389975
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Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften, 305)
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Convex Analysis and Minimization Algorithms I
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 adap. Bestandsnummer des Verkäufers 4894094
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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. Bestandsnummer des Verkäufers 9783540568506
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Convex Analysis and Minimization Algorithms I
Verlag:
Springer Berlin Heidelberg Okt 1993, 1993
ISBN 10: 3540568506
ISBN 13: 9783540568506
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 442 pp. Englisch. Bestandsnummer des Verkäufers 9783540568506
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Convex Analysis and Minimization Algorithms I
ISBN 10: 3540568506
ISBN 13: 9783540568506
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch. Bestandsnummer des Verkäufers 9783540568506
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Convex Analysis and Minimization Algorithms I: Fundamentals (Grundlehren der mathematischen Wissenschaften, 305)
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