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140122 ||| eng |
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|a 9780387216805
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| 100 |
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|a Pedregal, Pablo
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| 245 |
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|a Introduction to Optimization
|h Elektronische Ressource
|c by Pablo Pedregal
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| 250 |
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|a 1st ed. 2004
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| 260 |
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|a New York, NY
|b Springer New York
|c 2004, 2004
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| 300 |
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|a X, 246 p
|b online resource
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| 505 |
0 |
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|a Linear Programming -- Nonlinear Programming -- Approximation Techniques -- Variational Problems and Dynamic Programming -- Optimal Control
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| 653 |
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|a Optimization
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| 653 |
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|a Operations research
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| 653 |
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|a Microwaves, RF and Optical Engineering
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| 653 |
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|a Operations Research/Decision Theory
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| 653 |
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|a Game theory
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| 653 |
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|a Microwaves
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| 653 |
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|a Mathematical physics
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| 653 |
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|a Decision making
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| 653 |
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|a Theoretical, Mathematical and Computational Physics
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| 653 |
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|a Game Theory, Economics, Social and Behav. Sciences
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Optical engineering
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Texts in Applied Mathematics
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| 856 |
4 |
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|u https://doi.org/10.1007/b97412?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 519
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| 520 |
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|a This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful
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