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******************************************************************************* INFO ******************************************************************************* Title................: Linear and Nonlinear Optimization 2E Type.................: Ebook Reader...............: PDF Reader Size.................: 3.33 MB Torrent Hash.........: 6D05C031C18518895B9ACD6EDAFE611677A7E8B2 Posted by............: ~tqw~
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******************************************************************************* CONTENTS *******************************************************************************
Synopsis: "This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Its unique modular structure provides flexibility to accommodate the varying needs of instructors, students, and practitioners with different levels of sophistication in these topics. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support vector machines." Linear and Nonlinear Optimization, Second Edition is primarily intended for use in linear and nonlinear optimization courses for advanced undergraduate and graduate students. It is also appropriate as a tutorial for researchers and practitioners who need to understand the modern algorithms of linear and nonlinear optimization to apply them to problems in science and engineering.
Table Of Contents: I Basics 1 1 Optimization Models 3 2 Fundamentals of Optimization 43 3 Representation of Linear Constraints 77 II Linear Programming 95 4 Geometry of Linear Programming 97 5 The Simplex Method 125 6 Duality and Sensitivity 173 7 Enhancements of the Simplex Method 213 8 Network Problems 271 9 Computational Complexity of Linear Programming 301 10 Interior-Point Methods for Linear Programming 319 III Unconstrained Optimization 355 11 Basics of Unconstrained Optimization 357 12 Methods for Unconstrained Optimization 401 13 Low-Storage Methods for Unconstrained Problems 451 IV Nonlinear Optimization 481 14 Optimality Conditions for Constrained Problems 483 15 Feasible-Point Methods 549 16 Penalty and Barrier Methods 601 V Appendices 659 A Topics from Linear Algebra 661 B Other Fundamentals 691 C Software 703 Bibliography 707 Index 727
Product Details: * ISBN: 0898716616 * ISBN-13: 9780898716610 * Format: Hardcover, 768pp * Publisher: SIAM * Pub. Date: February 2009 * Edition Description: New Edition * Edition Number: 2
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