Sinossi
The theoretical and algorithmic foundations of optimization theory are combined with applications and implementation in this book, which features over 170 exercises to enhance the reader's understanding. It features modern topics and applications, accompanied by MATLAB files on an accompanying website. Ideal for students of mathematics, computer science, and engineering.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Amir Beck is an Associate Professor in the Department of Industrial Engineering at the Technion – Israel Institute of Technology. He has published numerous papers, has given invited lectures at international conferences, and was awarded the Salomon Simon Mani Award for Excellence in Teaching and the Henry Taub Research Prize. He is on the editorial board of Mathematics of Operations Research, Operations Research, and the Journal of Optimization Theory and Applications.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
ISBN 10: 1611973643
ISBN 13: 9781611973648
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
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ISBN 13: 9781611973648
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Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Codice articolo STM.6WU
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
Editore:
SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973643
ISBN 13: 9781611973648
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Da: Scissortail, Oklahoma City, OK, U.S.A.
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Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! Codice articolo STM.6VZ
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
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ISBN 13: 9781611973648
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
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SIAM-Society for Industrial and Applied Mathematics, 2014
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ISBN 13: 9781611973648
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ISBN 13: 9781611973648
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Introduction to Nonlinear Optimization : Theory, Algorithms and Applications With Matlab
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SIAM-Society for Industrial and Applied Mathematics, 2014
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Introduction to Nonlinear Optimization : Theory, Algorithms and Applications With Matlab
Editore:
SIAM-Society for Industrial and Applied Mathematics, 2014
ISBN 10: 1611973643
ISBN 13: 9781611973648
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Introduction to Nonlinear Optimization (Paperback)
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ISBN 13: 9781611973648
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Paperback. Condizione: new. Paperback. The three pillars of optimization theory - theoretical and algorithmic foundation, familiarity with applications, and the ability to apply theory and algorithms to actual problems - are combined in this book, which rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 exercises that deepen and enhance the reader's understanding of the topics. The author includes several subjects not typically found in optimization books, including optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. It also offers a large number of applications, such as circle fitting, the Fermat-Weber problem, denoising, clustering, and orthogonal regression. Theoretical and algorithmic topics are demonstrated by the MATLAB toolbox CVX and a package of m-files posted on the book's website. This book is intended for students of mathematics, computer science, and engineering at the advanced undergraduate level plus. Provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781611973648
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