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E-raamat: First Course in Optimization

(University of Massachusetts Lowell, USA)
  • Formaat: 315 pages
  • Ilmumisaeg: 11-Aug-2014
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781040072356
  • Formaat - EPUB+DRM
  • Hind: 126,09 €*
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  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: 315 pages
  • Ilmumisaeg: 11-Aug-2014
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781040072356

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"Designed for graduate and advanced undergraduate students, this text provides a much-needed contemporary introduction to optimization. Emphasizing general problems and the underlying theory, it covers the fundamental problems of constrained and unconstrained optimization, linear and convex programming, fundamental iterative solution algorithms, gradient methods, the Newton-Raphson algorithm and its variants, and sequential unconstrained optimization methods. The book presents the necessary mathematical tools and results as well as applications, such as game theory"--

This book evolved from notes Byrne used for a one-semester course in optimization for advanced undergraduate and beginning graduate courses for students in the mathematical sciences and engineering. The focus is on generality, with an emphasis on the fundamental problems of constrained and unconstrained optimization, linear and convex programming, fundamental iterative solution algorithms, and the necessary mathematical tools and results that provide a foundation for the discussion. He does include some applications, such as game theory, but his main interest is general problems and underlying theory. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

Arvustused

"This book, split in fifteen chapters, presents a thorough introduction to optimization for undergraduate and graduate courses in science and engineering and forms a useful toolkit of optimization techniques across several domains. Throughout this very interesting book, a number of solved and unsolved exercises provide the reader with all the necessary tools to understand the techniques and their applicability in real-life problems." Zentralblatt MATH 1312

Optimization without Calculus. Geometric Programming. Basic Analysis.
Convex Sets. Vector Spaces and Matrices. Linear Programming. Matrix Games and
Optimization. Differentiation. Convex Functions. Convex Programming.
Iterative Optimization. Solving Systems of Linear Equations.
Conjugate-Direction Methods. Operators. Looking Ahead. Bibliography. Index.
Charles Byrne