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Introduction To Nonlinear Optimization: Theory, Algorithms, And Applications With Matlab - Softcover
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Brand New International Paper-back Edition Same as per description, **Economy edition, May have been printed in Asia with cover stating Not for sale in US. Legal to use despite any disclaimer on cover. Save Money. Contact us for any queries. Best Customer Support! All Orders shipped with Tracking Number
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- PublisherOrient Blackswan Pvt Ltd
- Publication date2017
- ISBN 10 9386235358
- ISBN 13 9789386235350
- BindingPaperback
- LanguageEnglish
- Edition number1
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Introduction To Nonliner Optimisation (Siam)
Seller: Majestic Books, Hounslow, United Kingdom
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Matlab
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Soft cover. Condition: New. Contents: Preface. 1 Mathematical Preliminaries. 2 Optimality Conditions for Unconstrained Optimization. 3 Least Squares. 4 The Gradient Method. 5 Newton s Method. 6 Convex Sets. 7 Convex Functions. 8 Convex Optimization. 10 Optimality Conditions for Linearly Constrained Problems. 11 The KKT Conditions. 12 Duality. Bibliographic Notes. Bibliography. Index. This book 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 theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual problems and rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find: More than 170 theoretical, algorithmic, and numerical exercises that deepen and enhance the reader's understanding of the topics; Several subjects not typically found in optimization books for example, optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares; A large number of applications discussed theoretically and algorithmically, such as circle fitting, Chebyshev center, the Fermat Weber problem, denoising, clustering, total least squares, and orthogonal regression; and Theoretical and algorithmic topics demonstrated by the MATLAB® toolbox CVX and a package of m-files that is posted on the book s web site. This book is intended for graduate or advanced undergraduate students of mathematics, computer science, and electrical engineering as well as other engineering disciplines. The book will also be of interest to researchers. (jacket). Seller Inventory # 124092
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Introduction To Nonliner Optimisation Siam
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N.A. Condition: New. ISBN:9789386235350 N.A. Seller Inventory # 2366277
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