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Nonlinear Optimization
~
Aragón, Francisco J.
Nonlinear Optimization
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Nonlinear Optimization/ by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez.
Author:
Aragón, Francisco J.
other author:
Goberna, Miguel A.
Description:
XIV, 350 p. 181 illus., 106 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Mathematical optimization. -
Online resource:
https://doi.org/10.1007/978-3-030-11184-7
ISBN:
9783030111847
Nonlinear Optimization
Aragón, Francisco J.
Nonlinear Optimization
[electronic resource] /by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez. - 1st ed. 2019. - XIV, 350 p. 181 illus., 106 illus. in color.online resource. - Springer Undergraduate Texts in Mathematics and Technology,1867-5506. - Springer Undergraduate Texts in Mathematics and Technology,.
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.
ISBN: 9783030111847
Standard No.: 10.1007/978-3-030-11184-7doiSubjects--Topical Terms:
527675
Mathematical optimization.
LC Class. No.: QA402.5-402.6
Dewey Class. No.: 519.6
Nonlinear Optimization
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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.
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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.
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