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. Series: Wiley Professional Paperbacks. Num Pages: 344 pages, Illustrations. BIC Classification: PBK; PBM; PBP; PBU; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 153 x 16. Weight in Grams: 498. . 1997. 1969th Edition. Paperback. . . . .

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Bibliographic Details

Title: Optimization by Vector Space Methods
Publisher: John Wiley and Sons Ltd
Publication Date: 1997
Language: English
ISBN 10: 047118117X
ISBN 13: 9780471181170
Binding: Soft cover
Condition: New

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Synopsis

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.

About the Author

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.

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