Nonlinear Programming: Theory and Algorithms

Bazaraa, Mokhtar S.; Shetty, C. M.

ISBN 10: 0471786101 / ISBN 13: 9780471786108

Verlag: Wiley, New York

Beschreibung

Hardcover 4th printing. Good+ condition. The covers show some wear to the corners and spine ends. The binding is square and tight. Small abrasion to the front flyleaf. The interior pages are clean and unmarked. The book will be carefully packaged for shipment for protection from the elements. USPS electronic tracking number issued free of charge. A comprehensive, rigorous, and self-contained development of the central topics in nonlinear programming. Organized into three major sections: convex analysis, optimality conditions and duality, and algorithms and their convergence. Precise statements of the algorithms are given, along with convergence analysis. Among the topics covered are convex sets and functions, Fritz John and Kuhn Tucker optimality conditions, Lagrangian duality, Saddle Point optimality, constrained and unconstrained optimization, and the development of computational schemes. Includes extensive illustrations, examples, and references.

Bestandsnummer des Verkäufers 14189

Bibliografische Details

• Titel: Nonlinear Programming: Theory and Algorithms
• Verlag: Wiley, New York
• Sprache: Englisch
• ISBN-10: 0471786101
• ISBN-13: 9780471786108
• Einband: Hardcover
• Auflage: First Edition.
• Druck: 4th Printing
• Zustand: Good
• Zustand des Schutzumschlags: No Jacket
• Abmessungen: 9,25B x 6,65 H x 1,25 T Zoll Breite: 9,25 Zoll, Höhe: 6,65 Zoll, Tiefe: 1,25 Zoll

Über diesen Titel

Inhaltsangabe

Book by Bazaraa Mokhtar S Shetty C M

Reseña del editor

A comprehensive, rigorous, and self-contained development of the central topics in nonlinear programming. Organized into three major sections: convex analysis, optimality conditions and duality, and algorithms and their convergence. Precise statements of the algorithms are given, along with convergence analysis. Among the topics covered are convex sets and functions, Fritz John and Kuhn Tucker optimality conditions, Lagrangian duality, Saddle Point optimality, constrained and unconstrained optimization, and the development of computational schemes. Includes extensive illustrations, examples, and references.