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Practical Optimization

Algorithms and Engineering Applications

Medium: Buch
ISBN: 978-1-4419-4383-5
Verlag: Springer US
Erscheinungstermin: 05.11.2010
Lieferfrist: bis zu 10 Tage

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago.


Produkteigenschaften


  • Artikelnummer: 9781441943835
  • Medium: Buch
  • ISBN: 978-1-4419-4383-5
  • Verlag: Springer US
  • Erscheinungstermin: 05.11.2010
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of hardcover 1. Auflage 2007
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 1031 g
  • Seiten: 670
  • Format (B x H x T): 155 x 235 x 37 mm
  • Ausgabetyp: Kein, Unbekannt
  • Nachauflage: 978-1-0716-0841-8
Autoren/Hrsg.

Autoren

The Optimization Problem.- Basic Principles.- General Properties of Algorithms.- One-Dimensional Optimization.- Basic Multidimensional Gradient Methods.- Conjugate-Direction Methods.- Quasi-Newton Methods.- Minimax Methods.- Applications of Unconstrained Optimization.- Fundamentals of Constrained Optimization.- Linear Programming Part I: The Simplex Method.- Linear Programming Part II: Interior-Point Methods.- Quadratic and Convex Programming.- Semidefinite and Second-Order Cone Programming.- General Nonlinear Optimization Problems.- Applications of Constrained Optimization.