Skip to main content
Cart 0
Efficient Algorithms for Listing Combinatorial Structures
Click to zoom

Share this book

Efficient Algorithms for Listing Combinatorial Structures

Book Details

Format Paperback / softback
ISBN-10 0521117887
ISBN-13 9780521117883
Publisher Cambridge University Press
Imprint Cambridge University Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 30th, 2009
Print length 180 Pages
Weight 300 grams
Dimensions 24.40 x 17.00 x 1.00 cms
KSh 7,200.00
Currently unavailable 0 in stock

Delivery Location

Delivery fee: Select location

Secure
Quality
Fast
First published in 1993, this thesis is concerned with the design of efficient algorithms for listing combinatorial structures. Some related work is also included which compares the listing problem with the difficulty of solving the existence problem, the construction problem, the random sampling problem, and the counting problem.
First published in 1993, this thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members? What general methods are useful for listing combinatorial structures? How can these be applied to those families which are of interest to theoretical computer scientists and combinatorialists? Amongst those families considered are unlabelled graphs, first order one properties, Hamiltonian graphs, graphs with cliques of specified order, and k-colourable graphs. Some related work is also included, which compares the listing problem with the difficulty of solving the existence problem, the construction problem, the random sampling problem, and the counting problem. In particular, the difficulty of evaluating Polya's cycle polynomial is demonstrated.

Get Efficient Algorithms for Listing Combinatorial Structures by Leslie Ann Goldberg at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Cambridge University Press and it has 180 pages.

Shopping Cart

Africa largest book store

Sub Total: