Nonlinear Optimization
Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. RodríguezThis 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.
Anno:
2019
Edizione:
1st ed.
Casa editrice:
Springer International Publishing
Lingua:
english
ISBN 10:
3030111849
ISBN 13:
9783030111847
Collana:
Springer Undergraduate Texts in Mathematics and Technology
File:
PDF, 9.25 MB
IPFS:
,
english, 2019
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