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Nonlinear Optimization

by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez

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About this book

<p>This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.</p><br>

Details

Format
Hardcover
Pages
350
Publisher
Springer International Publishing
Language
EN
Edition
1st ed. 2019
ISBN-13
9783030111830
ISBN-10
3030111830

Categories

Mathematics, Optimization