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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.
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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