Nonlinear optimization /

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Bibliographic Details
Author / Creator:	Aragón, Francisco J., author.
Imprint:	Cham, Switzerland : Springer, [2019]
Description:	1 online resource
Language:	English
Series:	Springer undergraduate texts in mathematics and technology Springer undergraduate texts in mathematics and technology.
Subject:	Mathematical optimization. Nonlinear theories. Mathematical optimization. Nonlinear theories.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11797009

Hidden Bibliographic Details
ISBN:	9783030111847 3030111849 9783030111854 3030111857 9783030111830 3030111830
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from digital title page (viewed on March 28, 2019).
Summary:	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.
Other form:	Print version: 3030111830 9783030111830
Standard no.:	10.1007/978-3-030-11184-7 10.1007/978-3-030-11

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