Nonlinear optimization /
Saved in:
| 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: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11797009 |
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| 100 | 1 | |a Aragón, Francisco J., |e author. | |
| 245 | 1 | 0 | |a Nonlinear optimization / |c Francisco J. Aragón [and 3 others]. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2019] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 347 | |a text file | ||
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| 490 | 1 | |a Springer undergraduate texts in mathematics and technology | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on March 28, 2019). | |
| 650 | 0 | |a Mathematical optimization. |0 http://id.loc.gov/authorities/subjects/sh85082127 | |
| 650 | 0 | |a Nonlinear theories. |0 http://id.loc.gov/authorities/subjects/sh85092332 | |
| 650 | 7 | |a Mathematical optimization. |2 fast |0 (OCoLC)fst01012099 | |
| 650 | 7 | |a Nonlinear theories. |2 fast |0 (OCoLC)fst01038812 | |
| 655 | 4 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |z 3030111830 |z 9783030111830 |w (OCoLC)1078719433 |
| 830 | 0 | |a Springer undergraduate texts in mathematics and technology. |0 http://id.loc.gov/authorities/names/no2010053631 | |
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| 928 | |t Library of Congress classification |a QA402.5 .A73 2019 |l Online |c UC-FullText |u https://link.springer.com/10.1007/978-3-030-11184-7 |z Springer Nature |g ebooks |i 12560449 | ||