Randomization and Approximation Techniques in Computer Science PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Randomization and Approximation Techniques in Computer Science PDF full book. Access full book title Randomization and Approximation Techniques in Computer Science by Jose D.P. Rolim. Download full books in PDF and EPUB format.
Author: Jose D.P. Rolim
Publisher: Springer
ISBN: 3540457267
Category : Computers
Languages : en
Pages : 284
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 6th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2002, held in Cambridge, MA, USA in September 2002. The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. Among the topics addressed are coding, geometric computations, graph colorings, random hypergraphs, graph computations, lattice computations, proof systems, probabilistic algorithms, derandomization, constraint satisfaction, and web graphs analysis.
Author: Sanguthevar Rajasekaran
Publisher: Springer Science & Business Media
ISBN: 9780792369585
Category : Computers
Languages : en
Pages : 554
Get Book Here
Book Description
Author: Klaus Jansen
Publisher: Springer Science & Business Media
ISBN: 3540441867
Category : Business & Economics
Languages : en
Pages : 280
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2002, held in Rome, Italy in September 2002. The 20 revised full papers presented were carefully reviewed and selected from 54 submissions. Among the topics addressed are design and analysis of approximation algorithms, inapproximability results, online problems, randomization techniques, average-case analysis, approximation classes, scheduling problems, routing and flow problems, coloring and partitioning, cuts and connectivity, packing and covering, geometric problems, network design, and applications to game theory and other fields.
Author: Dorit Hochbaum
Publisher: Springer
ISBN: 3540484132
Category : Computers
Languages : en
Pages : 297
Get Book Here
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM'99, held jointly with the Second International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX'99, in Berkeley, California in August 1999. The volume presents 24 revised full papers selected from 44 submissions and four invited contributions. The papers present a wealth of new results and document the state-of-the-art in the areas covered by the workshop.
Author: Dana Ron
Publisher: Now Publishers Inc
ISBN: 1601983182
Category : Computers
Languages : en
Pages : 151
Get Book Here
Book Description
Property testing algorithms are ultra"-efficient algorithms that decide whether a given object (e.g., a graph) has a certain property (e.g., bipartiteness), or is significantly different from any object that has the property. To this end property testing algorithms are given the ability to perform (local) queries to the input, though the decisions they need to make usually concern properties with a global nature. In the last two decades, property testing algorithms have been designed for many types of objects and properties, amongst them, graph properties, algebraic properties, geometric properties, and more. In this article we survey results in property testing, where our emphasis is on common analysis and algorithmic techniques. Among the techniques surveyed are the following: a) The self-correcting approach, which was mainly applied in the study of property testing of algebraic properties; b) The enforce and test approach, which was applied quite extensively in the analysis of algorithms for testing graph properties (in the dense-graphs model), as well as in other contexts; c) Szemeredi's Regularity Lemma, which plays a very important role in the analysis of algorithms for testing graph properties (in the dense-graphs model); d) The approach of Testing by implicit learning, which implies efficient testability of membership in many functions classes. e) Algorithmic techniques for testing properties of sparse graphs, which include local search and random walks.
Author: Michael Mitzenmacher
Publisher: Cambridge University Press
ISBN: 9780521835404
Category : Computers
Languages : en
Pages : 372
Get Book Here
Book Description
Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This 2005 textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, the probabilistic method and Markov chains. The second half covers more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool.
Author: Rainer Burkard
Publisher: Springer Science & Business Media
ISBN: 9783540633976
Category : Computers
Languages : en
Pages : 538
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 5th Annual International European Symposium on Algorithms, ESA'97, held in Graz, Austria, September 1997. The 38 revised full papers presented were selected from 112 submitted papers. The papers address a broad spectrum of theoretical and applicational aspects in algorithms theory and design. Among the topics covered are approximation algorithms, graph and network algorithms, combinatorial optimization, computational biology, computational mathematics, data compression, distributed computing, evolutionary algorithms, neural computing, online algorithms, parallel computing, pattern matching, and others.
Author: Susanne Albers
Publisher: Springer Science & Business Media
ISBN: 3540230254
Category : Computers
Languages : en
Pages : 853
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 12th Annual European Symposium on Algorithms, ESA 2004, held in Bergen, Norway, in September 2004. The 70 revised full papers presented were carefully reviewed from 208 submissions. The scope of the papers spans the entire range of algorithmics from design and mathematical issues to real-world applications in various fields, and engineering and analysis of algorithms.
Author: Michael Luby
Publisher: Springer
ISBN: 3540495436
Category : Computers
Languages : en
Pages : 394
Get Book Here
Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM'98, held in Barcelona, Spain, in October 1998. The 26 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Also included are three invited contributions. Among the topics addressed are graph computation, derandomization, pattern matching, computational geometry, approximation algorithms, search algorithms, sorting, and networking algorithms.
Author: Sanguthevar Rajasekaran
Publisher: CRC Press
ISBN: 1420011294
Category : Computers
Languages : en
Pages : 1226
Get Book Here
Book Description
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Author: Prasad Raghavendra
Publisher: Springer
ISBN: 364240328X
Category : Computers
Languages : en
Pages : 728
Get Book Here
Book Description
This book constitutes the proceedings of the 16th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2013, and the 17th International Workshop on Randomization and Computation, RANDOM 2013, held in August 2013 in the USA. The total of 48 carefully reviewed and selected papers presented in this volume consist of 23 APPROX papers selected out of 46 submissions, and 25 RANDOM papers selected out of 52 submissions. APPROX 2013 focuses on algorithmic and complexity theoretic issues relevant to the development of efficient approximate solutions to computationally difficult problems, while RANDOM 2013 focuses on applications of randomness to computational and combinatorial problems.
