Cellular Automata And Complexity: Collected Papers
by Stephen Wolfram
Publisher: Westview Press 1994
Number of pages: 608
These original and widely known papers on cellular automata and complexity provide a highly readable account of what has become a major new field of science, with important implications for physics, biology, economics, computer science, and many other areas.
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by Christian P. Robert - arXiv
We will first present the most standard computational challenges met in Bayesian Statistics, focusing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions.
by Eitan Gurari - Computer Science Pr
The book explores questions and terminologies concerning programs, computers, and computation. The exploration reduces to a study of mathematical theories, such as those of automata and formal languages, theories interesting in their own right.
by John E. Savage - Addison-Wesley
The book re-examines computer science, giving priority to resource tradeoffs and complexity classifications over the structure of machines and their relationships to languages. This viewpoint is motivated by more realistic computational models.
by David Evans - University of Virginia
An introduction to the most important ideas in computing. It focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the limits of what can be computed mechanically.