Cover of: Combinatorial optimization | Read Online
Share

Combinatorial optimization

  • 574 Want to read
  • ·
  • 29 Currently reading

Published by Wiley in New York .
Written in English

Subjects:

  • Combinatorial optimization

Book details:

Edition Notes

StatementWilliam J. Cook ... [et al.].
SeriesWiley-Interscience series in discrete mathematics and optimization
ContributionsCook, William, 1957-
Classifications
LC ClassificationsQA402.5 .C54523 1998
The Physical Object
Paginationx, 355 p. :
Number of Pages355
ID Numbers
Open LibraryOL688752M
ISBN 10047155894X
LC Control Number97035774

Download Combinatorial optimization

PDF EPUB FB2 MOBI RTF

Combinatorial optimization is a subset of mathematical optimization that is related to operations research, algorithm theory, and computational complexity theory. It has important applications in several fields, including artificial intelligence, machine learning, auction theory, and software engineering. E-Book Review and Description: An in-depth overview of polyhedral methods and setting pleasant algorithms in combinatorial optimization. These methods sort a broad, coherent and extremely efficient kernel in combinatorial optimization, with strong hyperlinks to discrete arithmetic, mathematical programming and laptop science. This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial cyrusofficial.com methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer cyrusofficial.com: Springer-Verlag Berlin Heidelberg. First: I'm no expert in optimization, and this might be one reason why I did not like this book that much. I also skipped a good portion of the book, which I considered not being relevant for my work. One of the main drawbacks of this book is that, although the title speaks of combinatorial optimization, the topic is (integer) linear programming.4/5.

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/5(13). About this book. A complete, highly accessible introduction to one of today's most exciting areas of applied mathematics One of the youngest, most vital areas of applied mathematics, combinatorial optimization integrates techniques from combinatorics, linear programming, and the theory of . The book contains complete but concise proofs, also for many deep results, some of which did not appear in a book before. Many very recent topics are covered as well, and many references are provided. Thus this book represents the state of the art of combinatorial optimization. A linear program is an optimization problem over real-valued variables, while this course is about combinatorial problems, that is problems with a nite number of discrete solutions. The reasons why we will study linear programming are that cyrusofficial.com programs can be solved in polynomial time, and very e ciently in practice;.

Combinatorial optimization. Abstract. No abstract available. Cited By. The authors designed this book as a text for undergraduate and graduate courses in mathematics, operations research, and computer science departments. The introduction discusses the traveling salesman problem and the matching problem as motivating examples, then. Combinatorial optimization is one of the youngest and most active areas of discrete mathematics, and is probably its driving force today. This book describes the most important ideas, theoretical results, and algorithms of this field. This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Combinatorial Optimization, ISCO , held in Vietri sul Mare, Italy, in May The 38 revised full papers presented in this book were carefully reviewed and selected from 98 submissions. A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers. This book is an encyclopedic resource for such formulations, as well as for understanding the structure of and solving the resulting integer programming problems.