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Optimization by Vector Space Methods [推广有奖]

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Financial Engineering

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nelsoncwlee 发表于 2015-7-23 13:17:22 |AI写论文

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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.


Editorial ReviewsFrom the Back CoverUnifies 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, this 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 simple, intuitive interpretations on complex, infinite-dimensional problems. The 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
* Local 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.

About the AuthorDAVID 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.

Product Details
  • Paperback: 344 pages
  • Publisher: Wiley-Interscience; 1969 edition (January 23, 1997)
  • Language: English
  • ISBN-10: 047118117X
  • ISBN-13: 978-0471181170


Luenberger_optimzation by vector space methods.pdf (15.29 MB, 需要: 10 个论坛币)






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关键词:Optimization Methods Method Vector Optim principles regarding resources problems complex

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zerana(真实交易用户) 发表于 2015-7-23 19:14:17
缺页不全。麻烦把所缺页数扫描补全。

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philonjufan(未真实交易用户) 发表于 2017-5-31 23:12:54
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