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Ye / Luenberger

Linear and Nonlinear Programming

Medium: Buch
ISBN: 978-1-4419-4504-4
Verlag: Springer US
Erscheinungstermin: 19.11.2010
Lieferfrist: bis zu 10 Tage

"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what might otherwise be simply a collection of techniques and results, and this is valuable both as a means for learning existing material and for developing new results. One major insight of this type is the connection between the purely analytical character of an optimization problem, expressed perhaps by properties of the necessary conditions, and the behavior of algorithms used to solve a problem. This was a major theme of the first and second editions. Now the third edition has been completely updated with recent Optimization Methods. The new co-author, Yinyu Ye, has written chapters and chapter material on a number of these areas including Interior Point Methods.


Produkteigenschaften


  • Artikelnummer: 9781441945044
  • Medium: Buch
  • ISBN: 978-1-4419-4504-4
  • Verlag: Springer US
  • Erscheinungstermin: 19.11.2010
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of hardcover 3rd Auflage 2008
  • Serie: International Series in Operations Research & Management Science
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 844 g
  • Seiten: 546
  • Format (B x H x T): 155 x 235 x 31 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

David G. Luenberger has directed much of his career toward teaching "portable concepts" - organizing theory around concepts and actually "porting" the concepts to applications where, in the process, the general concepts are often discovered. The search for fundamentals has explicitly directed his research in the fields of control, optimization, planning, economics, and investments, and in turn, it is the discovery of these fundamentals that have motivated his textbook writing projects.

Linear Programming.- Basic Properties of Linear Programs.- The Simplex Method.- Duality.- Interior-Point Methods.- Transportation and Network Flow Problems.- Unconstrained Problems.- Basic Properties of Solutions and Algorithms.- Basic Descent Methods.- Conjugate Direction Methods.- Quasi-Newton Methods.- Constrained Minimization.- Constrained Minimization Conditions.- Primal Methods.- Penalty and Barrier Methods.- Dual and Cutting Plane Methods.- Primal-Dual Methods.