Showing posts with label Combinatorics. Show all posts
Showing posts with label Combinatorics. Show all posts

Sunday, January 20, 2008

Download Rapidshare Book Combinatorics of Experimental Design

Combinatorics of Experimental Design
414 pages | Djvu | 8 Mb

This book describes direct and recursive methods for the construction of combinatorial designs. It is ideally suited to the statistician through its discussion of how the designs currently used in experimental work have been obtained and through its coverage of other known and potentially useful designs.

It is equally suited to the needs of the combinatorialist, with its stress on the statistical motivation for studying particular finite structures and its suggestions of open problems in the construction of new designs with useful properties for the experimentalist. Designs are discussed within a unified framework, showing the interplay between elegant structure and practical use.

http://rapidshare.com/files/47863781/Ss.djvu.html

http://mihd.net/bufesc

Monday, August 27, 2007

Download Book Probabilistic Methods for Algorithmic Discrete Mathematics (Algorithms and Combinatorics)

  • Publisher: Springer
  • Number Of Pages: 323
  • Publication Date: 1998-09-18
  • Sales Rank: 1493689
  • ISBN / ASIN: 3540646221
  • EAN: 9783540646228
  • Binding: Hardcover
  • Manufacturer: Springer
  • Studio: Springer
Book Description:

The book gives an accessible account of modern probabilistic methods for analyzing combinatorial structures and algorithms. It will be an useful guide for graduate students and researchers.
Special features included: a simple treatment of Talagrand's inequalities and their applications; an overview and many carefully worked out examples of the probabilistic analysis of combinatorial algorithms; a discussion of the "exact simulation" algorithm (in the context of Markov Chain Monte Carlo Methods); a general method for finding asymptotically optimal or near optimal graph colouring, showing how the probabilistic method may be fine-tuned to exploit the structure of the underlying graph; a succinct treatment of randomized algorithms and derandomization techniques.

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