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.
Home page url
Download or read it online for free here:
(multiple PDF files)
by C. D. H. Cooper - Macquarie University
This is a text on discrete mathematics. It includes chapters on logic, set theory and strings and languages. There are some chapters on finite-state machines, some chapters on Turing machines and computability, and a couple of chapters on codes.
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 Anil Maheshwari, Michiel Smid - Carleton University
This is a textbook for an undergraduate course on the Theory of Computation. Contents: Finite Automata and Regular Languages; Context-Free Languages; Turing Machines and Church-Turing Thesis; Decidable and Undecidable Languages; Complexity Theory.
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.