Optimization by vector space methods
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Publication
1969 - John Wiley & Sons, Inc., New York, United Kingdom
Language
English
Word Count
81,500 words, Guess
Page Count
326 pages
Identifiers
- Internet Archiveoptimizationbyve00luen_109
- Internet Archiveoptimizationbyve0000unse
- ISBN-10047155359X
- ISBN-139780471553595
- LibraryThing1041230
and 4 more
- Library of Congress Control Number68008716
- OCLC Control Number300296197
- OCLC Control Number435434
- Open LibraryOL21466540M
Classifications
- DDC513.82
- LCCQA402.5 .L8
Description
Unifies the field of optimization with a few geometric principles The number of books that can legitimately be called classics in their fields is small indeed, but David Luenberger's OPtimization by Vector Space Methods certainly qualifies. Not only does Luenberger clearly demonstrate that a large segment of the field of optimization can be effectively unified by a few geometric principles of linear vector space theory, but his methods have found applications quite removed from the engineering problems to which they were first applied. Nearly 30 years after its initial publication, athis book is still among the most frequently cited sources in books and articles on financial optimization. The book uses functional analysis--the study of linear vector spaces--to impose problems. Thea early chapters offer an introduction to functional analysis, with applications to optimization. Topics addressed include linear space, Hilbert space, least-squares estimation, dual spaces, and linear operators and adjoints. Later chapters deal explicitly with optimization theory, discussing: Optimization of functionals Global theory of constrained optimization Iterative methods of optimization End-of-chapter problems constitute a major component of this book and come in two basic varieties. The first consists of miscellaneous mathematical problems and proofs that extend and supplement the theoretical material in the text; the second, optimization problems, illustrates further areas of application and helps the reader formulate and solve practical problems. For professionals and graduate students in engineering, mathematics, operations research, economics, and business and finance, Optimization by Vector Space Methods is an indispensable source of problem-solving tools --back cover
Subjects
Series Statement
- Series in decision and control
Other Editions
- Optimization by vector space methods
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