Random Generation of Trees

Random Generators in Computer Science

By: Laurent Alonso, René Schott

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Hardcover | 31 December 1994

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224 Pages

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25.4 x 17.15 x 1.91

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Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory. Computer scientists need random generators for performance analysis, simulation, image synthesis, etc. In this context random generation of trees is of particular interest. The algorithms presented here are efficient and easy to code. Some aspects of Horton--Strahler numbers, programs written in C and pictures are presented in the appendices. The complexity analysis is done rigorously both in the worst and average cases.
Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.

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Non-Fiction Mathematics Number Theory Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Mathematical Theory of Computation Probability & Statistics Combinatorics & Graph Theory Applied Mathematics Stochastics

Preface
Introduction	p. 1
Notations	p. 5
Generation of Simple Kinds of Trees	p. 14
Generation Using Bijective Methods	p. 31
Generation of Forests of Trees Split Into Patterns	p. 52
Generations of Colored Trees	p. 85
Two Methods of Generation by Rejection	p. 110
Arborescences	p. 133
Generation of Trees With a Given Height and Some Tricks About Complexity	p. 154
A Parallel Algorithm for the Generation of Words	p. 169
App. 1: Horton-Strahler's Numbers	p. 185
App. 2: Algorithms	p. 189
App. 3: Pictures of Trees	p. 196
References	p. 203
Index	p. 207
Table of Contents provided by Blackwell. All Rights Reserved.

Random Generation of Trees

Random Generators in Computer Science

At a Glance

Hardcover

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How to return your order

Defective items

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