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Random Generation of Trees - Laurent Alonso, René Schott

Random Generation of Trees

Random Generators in Computer Science
Buch | Hardcover
208 Seiten
1994
Springer (Verlag)
978-0-7923-9528-7 (ISBN)
CHF 299,55 inkl. MwSt
Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory.
Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.
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.

1 Introduction.- 2 Notations.- 3 Generation of Simple Kinds of Trees.- 4 Generation Using Bijective Methods.- 5 Generation of Forests of Trees Split into Patterns.- 6 Generation of Colored Trees.- 7 Two Methods of Generation by Rejection.- 8 Arborescences.- 9 Generation of Trees with a Given Height and Some Tricks about Complexity.- 10 A Parallel Algorithm for the Generation of Words.- Appendix 1 Horton-Strahler’s Numbers.- Appendix 2 Algorithms.- 2.1 Generation of binary trees: Rimy’s algorithm.- 2.2 Generation of unary-binary trees: Samaj Lareida’s algorithm.- Appendix 3 Pictures of Trees.- References.

Erscheint lt. Verlag 31.12.1994
Zusatzinfo XII, 208 p.
Verlagsort Dordrecht
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik
ISBN-10 0-7923-9528-X / 079239528X
ISBN-13 978-0-7923-9528-7 / 9780792395287
Zustand Neuware
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