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

Von:

Aragón, Francisco J [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Springer Undergraduate Texts in Mathematics and Technology | Springer eBook Collection | SpringerLink BücherVerlag: Cham : Springer, 2019Beschreibung: 1 Online-Ressource (XIV, 350 Seiten) : 181 IllustrationenISBN:

9783030111847

Schlagwörter:

Genre/Form:

Lehrbuch

Andere physische Formen: 9783030111830 | 9783030111854 | Erscheint auch als: Nonlinear optimization. Druck-Ausgabe Cham, Switzerland : Springer, 2019. xiv, 350 SeitenDDC-Klassifikation:

519.6

MSC: MSC: *90-01 | 90C30 | 90C25 | 65K05RVK: RVK: QH 421 | SK 870LOC-Klassifikation:

QA402.5-402.6

DOI: DOI: 10.1007/978-3-030-11184-7Online-Ressourcen:

Zusammenfassung: 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 techniquesZusammenfassung: 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 -- IndexPPN: PPN: 1067368787Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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