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Published **2008**
by Chapman & Hall/CRC in Boca Raton, FL .

Written in English

- Combinatorial analysis -- Data processing

**Edition Notes**

Includes bibliographical references (p. 595-601) and index

Statement | Jonathan L. Gross |

Series | Discrete mathematics and its applications |

Classifications | |
---|---|

LC Classifications | QA164 .G76 2008 |

The Physical Object | |

Pagination | xvii, 644 p. : |

Number of Pages | 644 |

ID Numbers | |

Open Library | OL17248139M |

ISBN 10 | 1584887435 |

ISBN 10 | 9781584887430 |

LC Control Number | 2007032273 |

Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries. Requiring only a foundation in discrete mathematics, it can serve as the textbook in a combinatCited by: Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries. "Emphasizing the use of combinatorial methods in calculations, Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries.". The author presents a wide spectrum of the most powerful combinatorial tools together with impressive applications in computer science: methods of extremal set theory, the linear algebra method, the probabilistic method, and fragments of Ramsey by:

Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most ting graph and network topics, design constructions, and finite geometries. Combinatorial Methods with Computer Applications provides in-depth protection of recurrences, producing options, partitions, and permutations, alongside with quite a lot of probably the most fascinating graph and network topics, design constructions, and finite geometries. Requiring solely a foundation in discrete arithmetic, it can perform the textbook in a combinatorial methods course or in a combined . Combinatorial Methods with Computer Applications Paving the way for students to understand and perform Combinatorial calculations, this accessible text presents the discrete methods necessary for applications to algorithmic analysis, performance evaluation, and statistics as well as for the solution of Combinatorial problems in engineering and the social sciences. Electronic books: Additional Physical Format: Print version: Gross, Jonathan L. Combinatorial methods with computer applications. Boca Raton, FL: Chapman & Hall/CRC, © (DLC) (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Jonathan L Gross.

The design of efficient algorithms for combinatorial problems has long been a target of computer science research. Natural combinatorial models, such as shortest paths, graph coloring, network connectivity and others, come equipped with a wide array of applications Cited by: 1. His most recent books are Topics in Topological Graph Theory(co-edited with Tom Tucker and series editors Lowell Beineke and Robin Wilson) and Combinatorial Methods with Computer Applications. Other books include Topological Graph Theory(co-authored with Thomas W. Tucker), Graph Theory and Its Applications(co-authored with Jay Yellen), and the Handbook of Graph Theory(co-edited with Jay . This book provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Graduate students and researchers in applied mathematics, optimization, computer science, and engineering will find this book a useful reference. Vangelis T. Paschos is Professor of Computer Science at the University of Paris-Dauphine and Chairman of the LAMSADE (Laboratory for the Modeling and the Analysis of Decision Aiding Systems). His research interests include complexity theory, the theory of the polynomial approximation of NP-hard problems, probabilistic combinatorial optimization and on-line computation.

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