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8° , Hardcover/Pappeinband. 5.Auflage,. 273 Seiten Einband mit geringen Lagerspuren, sonst sehr guter und sauberer Zustand 9783540966142 Sprache: Englisch Gewicht in Gramm: 670.
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Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
Zustand: New. pp. 292 Index 1st Edition.
Taschenbuch. Zustand: Neu. The Mathematics of Nonlinear Programming | Anthony L. Peressini (u. a.) | Taschenbuch | x | Englisch | 2012 | Springer | EAN 9781461269892 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Springer New York, Springer US, 2012
ISBN 10: 146126989X ISBN 13: 9781461269892
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the ideas and techniques involved in the optimization methods using calculus, leading to the study of convexity. This is followed by material on basic numerical methods, least squares, the Karush-Kuhn-Tucker theorem, penalty functions, and Lagrange multipliers. The authors have aimed their presentation at the student who has a working knowledge of matrix algebra and advanced calculus, but has had no previous exposure to optimization.
Verlag: Springer New York, Springer US, 1988
ISBN 10: 0387966145 ISBN 13: 9780387966144
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the ideas and techniques involved in the optimization methods using calculus, leading to the study of convexity. This is followed by material on basic numerical methods, least squares, the Karush-Kuhn-Tucker theorem, penalty functions, and Lagrange multipliers. The authors have aimed their presentation at the student who has a working knowledge of matrix algebra and advanced calculus, but has had no previous exposure to optimization.
EUR 140,84
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In den WarenkorbZustand: New. pp. 292 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.