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＜E-Book＞
Nonlinear Optimization / by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez
(Springer Undergraduate Texts in Mathematics and Technology. ISSN:18675514)

Edition	1st ed. 2019.
Publisher	Cham : Springer International Publishing : Imprint: Springer
Year	2019
Language	English
Size	XIV, 350 p. 181 illus., 106 illus. in color : online resource
Authors	*Aragón, Francisco J author Goberna, Miguel A author López, Marco A author Rodríguez, Margarita M.L author SpringerLink (Online service)
Subjects	LCSH:Mathematical optimization FREE:Optimization
Notes	1. Preliminaries -- Part I. Analytical Optimization -- 2. Convexity -- 3. Unconstrained Optimization -- 4. Convex Optimization -- Part II. Numerical Optimization -- 5. Unconstrained Optimization Algorithms -- 6. Constrained Optimization -- Solutions to selected exercises -- References -- Index 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 HTTP:URL=https://doi.org/10.1007/978-3-030-11184-7

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