Optimization by Vector Space Methods

David G. Luenberger (Stanford University, California)

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English

Wiley-Interscience
11 January 1997

Calculus & mathematical analysis; Geometry; Topology; Optimisation; Applied mathematics

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.

By: David G. Luenberger (Stanford University California)
Imprint: Wiley-Interscience
Country of Publication: United States
Edition: New edition
Dimensions: Height: 229mm, Width: 152mm, Spine: 19mm
Weight: 485g
ISBN: 9780471181170
ISBN 10: 047118117X
Pages: 352
Publication Date: 11 January 1997
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

DAVID G. LUENBERGER is a professor in the School of Engineering at Stanford University. He has published four textbooks and over 70 technical papers. Professor Luenberger is a Fellow of the Institute of Electrical and Electronics Engineers and recipient of the 1990 Bode Lecture Award. His current research is mainly in investment science, economics, and planning.

Reviews for Optimization by Vector Space Methods

'excellent coverage and lucid explanations' Sean Marsh, reviewing Craig Pritchett's Starting Out: Sicilian Scheveningen in Cleveland Chess 'An excellent introduction into the world of the Scheveningen' John Elburg, reviewing Craig Pritchett's Starting Out: Sicilian Scheveningen in Chess Book Reviews