Approximation Algorithms and Semidefinite Programming

Author: Bernd Gärtner
Edition: 2012
Publisher: Springer
Binding: Hardcover
ISBN: 3642220142
Category: Programming
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Approximation Algorithms and Semidefinite Programming

Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. Programming books Approximation Algorithms and Semidefinite Programming pdf. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.   There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. Download books Approximation Algorithms and Semidefinite Programming pdf via mediafire, 4shared, rapidshare.

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Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.
There are many comp

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Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.
There are many comp

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TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 Approximation Algorithms and Semidefinite Programming (English) by Bernd Gartner , Jiri Matousek Format Hardcover Condition Brand New Language English This introduction to aspects of semidefinite programming and its use in approximation algorithms develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. Publisher Description Semid

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Approximation Algorithms and Semidefinite Programming (2012 Edition) by G. Rtner, Bernd/ Matousek, Jiri [Hardcover]

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Store Search search Title, ISBN and Author Approximation Algorithms and Semidefinite Programming by Bernd Gartner, Jiri Matousek Estimated delivery 3-12 business days Format Hardcover Condition Brand New This introduction to aspects of semidefinite programming and its use in approximation algorithms develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. Publisher Description Semidefinite progr

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They play a key role in a variety of research areas, such as combinatorial optimization, approximation algorithms, computational complexity, graph theory, geometry, real algebraic geometry and quantum computing. This book is an introduction to selected aspects of semidefinite programming and its use in approximation algorithms. It covers the basics but also a significant amount of recent and more advanced material.   There are many computational problems, such as MAXCUT, for which one cannot reasonably expect to obtain an exact solution efficiently, and in such case, one has to settle for approximate solutions. For MAXCUT and its relatives, exciting recent results suggest that semidefinite programming is probably the ultimate tool. Indeed, assuming the Unique Games Conjecture, a plausible but as yet unproven hypothesis, it was shown that for these problems, known algorithms based on semidefinite programming deliver the best possible approximation ratios among all polynomial-time algorithms.   This book follows the “semidefinite side” of these developments, presenting some of the main ideas behind approximation algorithms based on semidefinite programming. It develops the basic theory of semidefinite programming, presents one of the known efficient algorithms in detail, and describes the principles of some others. It also includes applications, focusing on approximation algorithms. Download free Approximation Algorithms and Semidefinite Programming pdf

The Design of Approximation Algorithms

Author: David P. Williamson
Edition: 1
Publisher: Cambridge University Press
Binding: Hardcover
ISBN: 0521195276
Category: Programming
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The Design of Approximation Algorithms

Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Programming books The Design of Approximation Algorithms pdf. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Download books The design of approximation algorithms pdf via mediafire, 4shared, rapidshare.

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The design of approximation algorithms - Shmoys D., Williamson D.

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Review "This is a beautifully written book that will bring anyone who reads it to the current frontiers of research in approximation algorithms. It covers everything from the classics to the latest, most exciting results such as ARV's sparsest cut algorithm, and does so in an extraordinarily clear, rigorous and intuitive manner."Anna Karlin, University of Washington "The authors of this book are leading experts in the area of approximation algorithms. They do a wonderful job in providing clear and unified explanations of subjects ranging from basic and fundamental algorithmic design techniques

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author david b shmoys author david p williamson format hardback language english subject computing it subject 2 computing professional programming title the design of approximation algorithms author williamson david p shmoys david b publisher cambridge univ pr publication date jun 16 2011 pages 500 binding hardcover edition 1 st dimensions 7 10 wx 10 10 hx 1 30 d isbn 0521195276 subject computers programming algorithms description discrete optimization problems are everywhere from traditional

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The Design of Approximation Algorithms : Hardback : CAMBRIDGE UNIVERSITY PRESS : 9780521195270 : 0521195276 : 26 Apr 2011 : Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.

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Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first part of the book is devoted to a single algorithmic technique, which is then applied to several different problems. The second part revisits the techniques but offers more sophisticated treatments of them. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. Download free The Design of Approximation Algorithms pdf

Local Approximation Techniques in Signal and Image Processing

Author: Jaakko Astola
Edition: illustrated edition
Publisher: SPIE Publications
Binding: Hardcover
ISBN: 0819460923
Category: Programming
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Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157)

This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. Programming books Local Approximation Techniques in Signal and Image Processing pdf. These signals include those acquired from still or video cameras, electron microscopes, radar, X rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific applications. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. Download books Local Approximation Techniques In Signal And Image Processing pdf via mediafire, 4shared, rapidshare.

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Categories: Approximation theory, Signal processing->Mathematics, Image processing->Mathematics. Contributors: Vladimir IA Katkovnik - Author. Format: Hardcover

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The Book Depository with availability on over a million titles Local Approximation Techniques in Signal and Image Processing Description: Brand New Book with Free Worldwide Delivery. Well-stocked with images including inverse radon transform filtering and tomography, this comprehensive text for advanced students and professionals explains a wide variety of signal processing techniques developed to restore signals from noisy and degraded observations, with signals acquired from still or video ca

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author jaakko t astola author karen o egiazarian author vladmir katkovnik format hardback language english publication year 15 11 2006 subject engineering technology subject 2 electronics engineering communications engineering title local approximation techniques in signal and image processing spie press monograph vol pm 157 author jaakko astola vladimir katkovnik karen egiazarian publisher society of photo optical publication date sep 30 2006 pages 576 binding hardcover edition illustrated dime

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Local Approximation Techniques in Signal And Image Processing , ISBN-13: 9780819460929, ISBN-10: 0819460923

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These signals include those acquired from still or video cameras, electron microscopes, radar, X rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific applications. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule. Contents - Preface - Notations and Abbreviations - Introduction - Discrete LPA - Shift-Invariant LPA Kernels - Integral LPA - Discrete LPA Accuracy - Adaptive-Scale Selection - Anisotropic LPA - Anisotropic LPA-ICI Algorithms - Image Reconstruction - Nonlinear Methods - Likelihood and Quasi-Likelihood - Photon Imaging - Multiresolution Analysis - Appendix - References - Index Download free Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157) pdf

Numerical Linear Approximation in C

Author: Nabih Abdelmalek
Edition: Har/Cdr
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584889780
Category: Programming
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Numerical Linear Approximation in C (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Programming books Numerical Linear Approximation in C pdf. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. Download books Numerical Linear Approximation in C , 9781584889786 pdf via mediafire, 4shared, rapidshare.

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Store Search search Title, ISBN and Author Numerical Linear Approximation in C [With CDROM] by Nabih N. Adelmalek, William A. Malek Estimated delivery 3-12 business days Format Hardcover Condition Brand New Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have bee

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Numerical Linear Approximation in C , ISBN-13: 9781584889786, ISBN-10: 1584889780

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This book is written by Nabih Abdelmalek Published by Taylor & Francis Group In 2008 and is available in Hardback POD will be shipped in 12 Days.

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"Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L

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Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. Except in the preliminary section, all chapters include the C functions of the algorithms, along with drivers that contain numerous test case examples and results. The accompanying CD-ROM also provides the algorithms written in C code as well as the test drivers. To use the software, it is not required to understand the theory behind each function. Download free Numerical Linear Approximation in C (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) pdf