ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover Special order direct from the distributor
[Victoria, BC, Canada] [Publication Year: 1993]

Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Convex Analysis and Minimization Algorithms I : Fundamentals. ISBN 3540568506 9783540568506 [GB]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover Like New
[Redhill, SURRE, United Kingdom] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover Yellow boards, bright pages, unmarked text, sturdy binding, like new feel all around.
[Hadley, MA, U.S.A.] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover New Copy. Customer Service Guaranteed
[Austin, TX, U.S.A.] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting.
[Hawthorne, CA, U.S.A.] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer Berlin] Hardcover Gebrauchs- und Lagerspuren. 1. Auflage. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. 398794/203
[Trebbin, Germany] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover
[Bayonne, NJ, U.S.A.] [Publication Year: 1993]
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ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer] Hardcover New. In shrink wrap. Looks like an interesting title! 1.6
[LOS ANGELES, CA, U.S.A.] [Publication Year: 1993]

ISBN10: 3540568506, ISBN13: 9783540568506, [publisher: Springer Berlin Heidelberg] Hardcover 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.
[Einbeck, Germany] [Publication Year: 1993]
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