| Description |
1 online resource (xxiv, 291 pages) : illustrations |
| Contents |
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 |
| Summary |
"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"-- Provided by publisher |
| Bibliography |
Includes bibliographical references (pages 271-286) |
| Notes |
Print version record |
| Subject |
Mathematical optimization -- Textbooks
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BUSINESS & ECONOMICS -- Operations Research.
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MATHEMATICS -- Applied.
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MATHEMATICS -- Number Systems.
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MATHEMATICS -- Probability & Statistics -- General.
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Mathematical optimization
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Optimierung
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| Genre/Form |
Electronic books
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Textbooks
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| Form |
Electronic book
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| ISBN |
9781482226584 |
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1482226588 |
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