The Design of Approximation Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Design of Approximation Algorithms write by David P. Williamson. This book was released on 2011-04-26. The Design of Approximation Algorithms available in PDF, EPUB and Kindle. 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. 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.
The Design of Approximation Algorithms
The Design of Approximation Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Design of Approximation Algorithms write by David P. Williamson. This book was released on 2014-05-14. The Design of Approximation Algorithms available in PDF, EPUB and Kindle. Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.
Approximation Algorithms
Approximation Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Approximation Algorithms write by Vijay V. Vazirani. This book was released on 2013-03-14. Approximation Algorithms available in PDF, EPUB and Kindle. Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.
Design and Analysis of Approximation Algorithms
Design and Analysis of Approximation Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Analysis of Approximation Algorithms write by Ding-Zhu Du. This book was released on 2011-11-18. Design and Analysis of Approximation Algorithms available in PDF, EPUB and Kindle. This book is intended to be used as a textbook for graduate students studying theoretical computer science. It can also be used as a reference book for researchers in the area of design and analysis of approximation algorithms. Design and Analysis of Approximation Algorithms is a graduate course in theoretical computer science taught widely in the universities, both in the United States and abroad. There are, however, very few textbooks available for this course. Among those available in the market, most books follow a problem-oriented format; that is, they collected many important combinatorial optimization problems and their approximation algorithms, and organized them based on the types, or applications, of problems, such as geometric-type problems, algebraic-type problems, etc. Such arrangement of materials is perhaps convenient for a researcher to look for the problems and algorithms related to his/her work, but is difficult for a student to capture the ideas underlying the various algorithms. In the new book proposed here, we follow a more structured, technique-oriented presentation. We organize approximation algorithms into different chapters, based on the design techniques for the algorithms, so that the reader can study approximation algorithms of the same nature together. It helps the reader to better understand the design and analysis techniques for approximation algorithms, and also helps the teacher to present the ideas and techniques of approximation algorithms in a more unified way.
Approximation Algorithms for NP-hard Problems
Approximation Algorithms for NP-hard Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Approximation Algorithms for NP-hard Problems write by Dorit S. Hochbaum. This book was released on 1997. Approximation Algorithms for NP-hard Problems available in PDF, EPUB and Kindle. This is the first book to fully address the study of approximation algorithms as a tool for coping with intractable problems. With chapters contributed by leading researchers in the field, this book introduces unifying techniques in the analysis of approximation algorithms. APPROXIMATION ALGORITHMS FOR NP-HARD PROBLEMS is intended for computer scientists and operations researchers interested in specific algorithm implementations, as well as design tools for algorithms. Among the techniques discussed: the use of linear programming, primal-dual techniques in worst-case analysis, semidefinite programming, computational geometry techniques, randomized algorithms, average-case analysis, probabilistically checkable proofs and inapproximability, and the Markov Chain Monte Carlo method. The text includes a variety of pedagogical features: definitions, exercises, open problems, glossary of problems, index, and notes on how best to use the book.
