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Algorithm Theory – SWAT 2008

Algorithm Theory – SWAT 2008
Author: Joachim Gudmundsson
Publisher: Springer Science & Business Media
Total Pages: 449
Release: 2008-06-19
Genre: Computers
ISBN: 3540699007

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This book constitutes the refereed proceedings of the 11th Scandinavian Workshop on Algorithm Theory, SWAT 2008, held in Gothenborg, Sweden, in July 2008. The 36 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 111 submissions. Papers were solicited for original research on algorithms and data structures in all areas, including but not limited to: approximation algorithms, computational biology, computational geometry, distributed algorithms, external-memory algorithms, graph algorithms, online algorithms, optimization algorithms, parallel algorithms, randomized algorithms, string algorithms and algorithmic game theory.


Algorithm Theory - SWAT 2010

Algorithm Theory - SWAT 2010
Author: Haim Kaplan
Publisher: Springer Science & Business Media
Total Pages: 444
Release: 2010-06-09
Genre: Computers
ISBN: 364213730X

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The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious Organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In Parallel to the printed book, each new volume is published electronically in LNCS Online.


Treewidth, Kernels, and Algorithms

Treewidth, Kernels, and Algorithms
Author: Fedor V. Fomin
Publisher: Springer Nature
Total Pages: 350
Release: 2020-04-20
Genre: Computers
ISBN: 303042071X

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This Festschrift was published in honor of Hans L. Bodlaender on the occasion of his 60th birthday. The 14 full and 5 short contributions included in this volume show the many transformative discoveries made by H.L. Bodlaender in the areas of graph algorithms, parameterized complexity, kernelization and combinatorial games. The papers are written by his former Ph.D. students and colleagues as well as by his former Ph.D. advisor, Jan van Leeuwen. Chapter “Crossing Paths with Hans Bodlaender: A Personal View on Cross-Composition for Sparsification Lower Bounds” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Handbook of Approximation Algorithms and Metaheuristics

Handbook of Approximation Algorithms and Metaheuristics
Author: Teofilo F. Gonzalez
Publisher: CRC Press
Total Pages: 840
Release: 2018-05-15
Genre: Computers
ISBN: 1351236407

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.


Mathematical Foundations of Computer Science 2008

Mathematical Foundations of Computer Science 2008
Author: Edward Ochmanski
Publisher: Springer
Total Pages: 638
Release: 2008-08-19
Genre: Computers
ISBN: 3540852387

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This book constitutes the refereed proceedings of the 33rd International Symposium on Mathematical Foundations of Computer Science, MFCS 2008, held in Torun, Poland, in August 2008. The 45 revised full papers presented together with 5 invited lectures were carefully reviewed and selected from 119 submissions. All current aspects in theoretical computer science and its mathematical foundations are addressed, ranging from algorithmic game theory, algorithms and data structures, artificial intelligence, automata and formal languages, bioinformatics, complexity, concurrency and petrinets, cryptography and security, logic and formal specifications, models of computations, parallel and distributed computing, semantics and verification.


Structural Information and Communication Complexity

Structural Information and Communication Complexity
Author: Boaz Patt-Shamir
Publisher: Springer Science & Business Media
Total Pages: 272
Release: 2010-05-21
Genre: Computers
ISBN: 3642132839

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This book constitutes the refereed proceedings of the 17th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2010, held in Sirince, Turkey, in June 2010. The 19 revised full papers presented were carefully reviewed and selected from 37 submissions. The volume also contains the abstract of one invited talk. The papers are organized in topical section on game theory, network algorithms, motion planning, asynchrony, network algorithms, motion planning, topology algorithms, and graph algorithms.


Algorithms and Computation

Algorithms and Computation
Author: Hee-Kap Ahn
Publisher: Springer
Total Pages: 769
Release: 2014-11-07
Genre: Computers
ISBN: 3319130757

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This book constitutes the refereed proceedings of the 25th International Symposium on Algorithms and Computation, ISAAC 2014, held in Jeonju, Korea, in December 2014. The 60 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 171 submissions for inclusion in the book. The focus of the volume in on the following topics: computational geometry, combinatorial optimization, graph algorithms: enumeration, matching and assignment, data structures and algorithms, fixed-parameter tractable algorithms, scheduling algorithms, computational complexity, computational complexity, approximation algorithms, graph theory and algorithms, online and approximation algorithms, and network and scheduling algorithms.


Exact Exponential Algorithms

Exact Exponential Algorithms
Author: Fedor V. Fomin
Publisher: Springer Science & Business Media
Total Pages: 208
Release: 2010-10-26
Genre: Mathematics
ISBN: 3642165338

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For a long time computer scientists have distinguished between fast and slow algo rithms. Fast (or good) algorithms are the algorithms that run in polynomial time, which means that the number of steps required for the algorithm to solve a problem is bounded by some polynomial in the length of the input. All other algorithms are slow (or bad). The running time of slow algorithms is usually exponential. This book is about bad algorithms. There are several reasons why we are interested in exponential time algorithms. Most of us believe that there are many natural problems which cannot be solved by polynomial time algorithms. The most famous and oldest family of hard problems is the family of NP complete problems. Most likely there are no polynomial time al gorithms solving these hard problems and in the worst case scenario the exponential running time is unavoidable. Every combinatorial problem is solvable in ?nite time by enumerating all possi ble solutions, i. e. by brute force search. But is brute force search always unavoid able? De?nitely not. Already in the nineteen sixties and seventies it was known that some NP complete problems can be solved signi?cantly faster than by brute force search. Three classic examples are the following algorithms for the TRAVELLING SALESMAN problem, MAXIMUM INDEPENDENT SET, and COLORING.


Exponential Time Algorithms

Exponential Time Algorithms
Author: Serge Gaspers
Publisher: Serge Gaspers
Total Pages: 207
Release: 2010-02
Genre:
ISBN: 3639218256

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This book studies exponential time algorithms for NP-hard problems. In this modern area, the aim is to design algorithms for combinatorially hard problems that execute provably faster than a brute-force enumeration of all candidate solutions. After an introduction and survey of the field, the text focuses first on the design and especially the analysis of branching algorithms. The analysis of these algorithms heavily relies on measures of the instances, which aim at capturing the structure of the instances, not merely their size. This makes them more appropriate to quantify the progress an algorithm makes in the process of solving a problem. Expanding the methodology to design exponential time algorithms, new techniques are then presented. Two of them combine treewidth based algorithms with branching or enumeration algorithms. Another one is the iterative compression technique, prominent in the design of parameterized algorithms, and adapted here to the design of exponential time algorithms. This book assumes basic knowledge of algorithms and should serve anyone interested in exactly solving hard problems.