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Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization


Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization
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Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization


Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization
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Author : Levent Tunçel
language : en
Publisher: American Mathematical Soc.
Release Date : 2016-05-05

Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization written by Levent Tunçel and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-05 with Mathematics categories.


Since the early 1960s, polyhedral methods have played a central role in both the theory and practice of combinatorial optimization. Since the early 1990s, a new technique, semidefinite programming, has been increasingly applied to some combinatorial optimization problems. The semidefinite programming problem is the problem of optimizing a linear function of matrix variables, subject to finitely many linear inequalities and the positive semidefiniteness condition on some of the matrix variables. On certain problems, such as maximum cut, maximum satisfiability, maximum stable set and geometric representations of graphs, semidefinite programming techniques yield important new results. This monograph provides the necessary background to work with semidefinite optimization techniques, usually by drawing parallels to the development of polyhedral techniques and with a special focus on combinatorial optimization, graph theory and lift-and-project methods. It allows the reader to rigorously develop the necessary knowledge, tools and skills to work in the area that is at the intersection of combinatorial optimization and semidefinite optimization. A solid background in mathematics at the undergraduate level and some exposure to linear optimization are required. Some familiarity with computational complexity theory and the analysis of algorithms would be helpful. Readers with these prerequisites will appreciate the important open problems and exciting new directions as well as new connections to other areas in mathematical sciences that the book provides.



Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization


Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization
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Author : Levent Tunçel
language : en
Publisher:
Release Date : 2012

Polyhedral And Semidefinite Programming Methods In Combinatorial Optimization written by Levent Tunçel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Combinatorial optimization categories.




Topics In Semidefinite And Interior Point Methods


Topics In Semidefinite And Interior Point Methods
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Author : Panos M. Pardalos and Henry Wolkowicz
language : en
Publisher: American Mathematical Soc.
Release Date :

Topics In Semidefinite And Interior Point Methods written by Panos M. Pardalos and Henry Wolkowicz and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Interior-point methods categories.


This volume presents refereed papers presented at the workshop Semidefinite Programming and Interior-Point Approaches for Combinatorial Problems: held at The Fields Institute in May 1996. Semidefinite programming (SDP) is a generalization of linear programming (LP) in that the non-negativity constraints on the variables is replaced by a positive semidefinite constraint on matrix variables. Many of the elegant theoretical properties and powerful solution techniques follow through from LP to SDP. In particular, the primal-dual interior-point methods, which are currently so successful for LP, can be used to efficiently solve SDP problems. In addition to the theoretical and algorithmic questions, SDP has found many important applications in combinatorial optimization, control theory and other areas of mathematical programming. The papers in this volume cover a wide spectrum of recent developments in SDP. The volume would be suitable as a textbook for advanced courses in optimization. It is intended for graduate students and researchers in mathematics, computer science, engineering and operations.



Integer Programming And Combinatorial Optimization


Integer Programming And Combinatorial Optimization
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Author : Karen Aardal
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-05-30

Integer Programming And Combinatorial Optimization written by Karen Aardal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-30 with Business & Economics categories.


This book constitutes the reviewed proceedings of the 8th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2001, held in Utrecht, The Netherlands in June 2001. The 32 revised full papers presented were carefully reviewed and selected from a total of 108 submissions. The proceedings reflect most current directions in integer programming and optimization research. Among the topics covered are approximation algorithms, branch and bound algorithms, computational biology, computational complexity, algorithmic geometry, cutting plane algorithms, diophantine equations, geometry of members, graph and network algorithms, online algorithms, polyhedral combinatorics, scheduling theory and algorithms, and semidefinite programs.



Semidefinite Programming For Combinatorial Optimization


Semidefinite Programming For Combinatorial Optimization
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Author : Christoph Helmberg
language : en
Publisher:
Release Date : 2000

Semidefinite Programming For Combinatorial Optimization written by Christoph Helmberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Combinatorial optimization categories.


Abstract: "This book offers a self-contained introduction to the field of semidefinite programming, its applications in combinatorial optimization, and its computational methods. We equip the reader with the basic results from linear algebra on positive semidefinite matrices and the cone spanned by them. Starting from linear programming, we introduce semidefinite programs and discuss the associated duality theory. We then turn to semidefinite relaxations of combinatorial optimization and illustrate their interrelation. In the second half we deal with computational methods for solving semidefinite programs. First, the interior point approach, its iteration complexity, and implementational issues are discussed. Next, we explain in great detail the spectral bundle method, which is particularly suited for large scale semidefinite programming. One of the most successful techniques in integer linear programming is the cutting plane approach which improves an initial relaxation by adding violated inequalities. We explore possibilities to combine the two solution methods with the cutting plane approach in order to strengthen semidefinite relaxations of combinatorial optimization problems."



Concepts Of Combinatorial Optimization


Concepts Of Combinatorial Optimization
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Author : Vangelis Th. Paschos
language : en
Publisher: John Wiley & Sons
Release Date : 2014-09-09

Concepts Of Combinatorial Optimization written by Vangelis Th. Paschos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-09 with Mathematics categories.


Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. Concepts of Combinatorial Optimization, is divided into three parts: - On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity; - Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming; - Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.



Computational Combinatorial Optimization


Computational Combinatorial Optimization
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Author : Michael Jünger
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-21

Computational Combinatorial Optimization written by Michael Jünger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-21 with Mathematics categories.


This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality.



The Sharpest Cut


The Sharpest Cut
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Author : Martin Groetschel
language : en
Publisher: SIAM
Release Date : 2004-01-01

The Sharpest Cut written by Martin Groetschel and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Science categories.


This title is written in honor of Manfred Padberg, who has made fundamental contributions to both the theoretical and computational sides of integer programming and combinatorial optimization. This outstanding collection presents recent results in these areas that are closely connected to Padberg's research. His deep commitment to the geometrical approach to combinatorial optimization can be felt throughout this volume; his search for increasingly better and computationally efficient cutting planes gave rise to its title. The peer-reviewed papers contained here are based on invited lectures given at a workshop held in October 2001 to celebrate Padberg's 60th birthday. Grouped by topic (packing, stable sets, and perfect graphs; polyhedral combinatorics; general polytopes; semidefinite programming; computation), many of the papers set out to solve challenges set forth in Padberg's work. The book also shows how Padberg's ideas on cutting planes have influenced modern commercial optimization software.



Nonlinear Assignment Problems


Nonlinear Assignment Problems
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Author : Panos M. Pardalos
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Nonlinear Assignment Problems written by Panos M. Pardalos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.


Nonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem, and despite the efforts of many researchers over the past three decades, they still remain some of the hardest combinatorial optimization problems to solve exactly. The purpose of this book is to provide in a single volume, major algorithmic aspects and applications of NAPs as contributed by leading international experts. The chapters included in this book are concerned with major applications and the latest algorithmic solution approaches for NAPs. Approximation algorithms, polyhedral methods, semidefinite programming approaches and heuristic procedures for NAPs are included, while applications of this problem class in the areas of multiple-target tracking in the context of military surveillance systems, of experimental high energy physics, and of parallel processing are presented. Audience: Researchers and graduate students in the areas of combinatorial optimization, mathematical programming, operations research, physics, and computer science.



Recent Advances In Algorithms And Combinatorics


Recent Advances In Algorithms And Combinatorics
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Author : Bruce A. Reed
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-17

Recent Advances In Algorithms And Combinatorics written by Bruce A. Reed and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-17 with Mathematics categories.


Excellent authors, such as Lovasz, one of the five best combinatorialists in the world; Thematic linking that makes it a coherent collection; Will appeal to a variety of communities, such as mathematics, computer science and operations research