Автор: Korte Название: Combinatorial optimization theory and algorithms 4th ed. ISBN: 3540718435 ISBN-13(EAN): 9783540718437 Издательство: Springer Цена: 6924 р. Наличие на складе: Невозможна поставка. Описание: A comprehensive textbook on combinatorial optimization that puts emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It contains a chapter on facility location problems.
Описание: This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization.These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each starting with an elementary introduction to the area, with short, elegant proofs of the principal results, and each evolving to the more advanced methods and results, with full proofs of some of the deepest theorems in the area. Over 4000 references to further research are given, and historical surveys on the basic subjects are presented.
Описание: This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2005, held in Lausanne, Switzerland in March/April 2005.The 24 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers cover evolutionary algorithms as well as related approaches like scatter search, simulated annealing, ant colony optimization, immune algorithms, variable neighborhood search, hyperheuristics, and estimation of distribution algorithms. The papers deal with representations, analysis of operators and fitness landscapes, and comparison algorithms. Among the combinatorial optimization problems studied are graph coloring, quadratic assignment, knapsack, graph matching, packing, scheduling, timetabling, lot-sizing, and the traveling salesman problem.
Описание: This book constitutes the refereed proceedings of the Third International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2006, held in Cork, Ireland in May/June 2006.The 20 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 67 submissions. The papers address methodological and foundational issues from AI, OR, and algorithmics and present applications to the solution of combinatorial optimization problems in various fields via constraint programming.
Описание: With the advent of approximation algorithms for NP-hard combinatorial optimization problems, several techniques from exact optimization such as the primal-dual method have proven their staying power and versatility. This book describes a simple and powerful method that is iterative in essence and similarly useful in a variety of settings for exact and approximate optimization. The authors highlight the commonality and uses of this method to prove a variety of classical polyhedral results on matchings, trees, matroids and flows. The presentation style is elementary enough to be accessible to anyone with exposure to basic linear algebra and graph theory, making the book suitable for introductory courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate their potential for future application in research in approximation algorithms.
Описание: This book constitutes the refereed proceedings of the First International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2004, held in Nice, France in April 2004.The 23 revised full papers and 7 revised short papers presented together with an invited talk were carefully reviewed and selected from 56 submissions. Methodological and foundational issues from AI, OR, and algorithmics are presented as well as applications to the solution of combinatorial optimization problems in various fields via constraint programming.
Описание: Constitutes the proceedings of the Second International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2005, held in Prague, Czech Republic, in May/June 2005. This title presents methodological and foundational issues from AI , OR, and algorithmics.
Автор: Edelsbrunner Herbert Название: Algorithms in Combinatorial Geometry ISBN: 3642648738 ISBN-13(EAN): 9783642648731 Издательство: Springer Цена: 15009 р. Наличие на складе: Поставка под заказ.
Описание: This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art and future trends in the field of combinatorial optimization and online algorithms. Recent advances in this area are presented focusing on the design of efficient approximation and on-line algorithms. One central idea in the book is to use a linear program relaxation of the problem, randomization and rounding techniques.This state-of-the-art survey contains 11 carefully selected papers that cover some classical problems of scheduling, of packing, and of graph theory, but also new optimization problems arising in various applications like networks, data mining or classification.
Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.
Описание: AlegendsaysthatJackEdmondsshouted"Eureka-youshrink "whenhefound a good characterization for matching (and the matching algorithm) in 1963, the daybeforehistalkatasummerworkshopatRANDCorporationwithcelebrities like George Dantzig, Ralph Gomory, and Alan Ho?man in the audience. During Aussois 2001, Jack con?rmed: "'Eureka - you shrink ' is really true, except that instead of 'Eureka' it maybe was some less digni?ed word." Aussois 2001 was the ?fth in an annual series of workshops on combinatorial optimization that are alternately organized by Thomas Liebling, Denis Naddef, andLaurenceWolsey-theinitiatorsofthisseries-inevenyearsandtheeditors of this book in odd years (except 1997). We decided to dedicate Aussois 2001 to Jack Edmonds in appreciation of his groundbreaking work that laid the foundations of much of what combinatorial optimizers have done in the last 35 years. Luckily, Jack is a regular participant of the Aussois workshops and, as ever, he cares a lot for young combinatorial optimizers who traditionally play a major r DEGREES ole in the Aussois series. Fig.1. Handout for the Aussois 2001 participants VI Preface Highlights of Aussois 2001 included a special session entitled "Eureka - you shrink " in honor of Jack and a special lecture by Jack on "Submodular Fu- tions, Matroids, and Certain Polyhedra" that closed the workshop. In this book, we give an account of the "Eureka - you shrink " session as well as reprints of three hardly accessible papers that Jack gave as a handout to the Aussois 2001 participants and that were originally published in theProceedings oftheCalgaryInternationalConferenceonCombinatorialStructuresandTheir Applications 1969, Gordon and Breach (1970) - newly typeset by the editors and reprinted by permission.
Автор: Boting Yang; Ding-Zhu Du; Cao An Wang Название: Combinatorial Optimization and Applications ISBN: 3540850961 ISBN-13(EAN): 9783540850960 Издательство: Springer Рейтинг: Цена: 10394 р. Наличие на складе: Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Second International Conference on Combinatorial Optimization and Applications, COCOA 2008, held in St John`s, Canada, in August 2008. This book includes papers that feature research in the areas of combinatorial optimization - both theoretical issues and applications motivated by real-world problems.
Описание: This title provides a comprehensive survey over the subject of probabilistic combinatorial optimization, discussing probabilistic versions of some of the most paradigmatic combinatorial problems on graphs, such as the maximum independent set, the minimum vertex covering, the longest path and the minimum coloring.
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