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Nonlinear Optimization (Springer Undergraduate Texts in Mathematics and Technology) book cover by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez
Hardcover

Nonlinear Optimization (Springer Undergraduate Texts in Mathematics and Technology)

by Francisco J. Aragón, Miguel A. Goberna, Marco A. López and Margarita M.L. Rodríguez

$61.59 / copy at 25+ copies As low as $60.19 at 100+Your best volume price

Hardcover · 350 pages Springer International Publishing · 2019

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Hardcover
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About the book

Nonlinear Optimization (Springer Undergraduate Texts in Mathematics and Technology)

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.




The book, Nonlinear Optimization (Springer Undergraduate Texts in Mathematics and Technology) [Bulk, Wholesale, Quantity] ISBN#9783030111830 in Hardcover by Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer International Publishing
Authors
Francisco J. Aragón, Miguel A. Goberna, Marco A. López, Margarita M.L. Rodríguez
Format
Hardcover
Published
Mar 8, 2019
ISBN-13
9783030111830
Pages
350
Printing
Printed on demand
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Nonlinear Optimization (Springer Undergraduate Texts in Mathematics and Technology) in bulk: pricing

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CopiesPrice per copyYou save
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