Introduction to Theory of Computation
by Anil Maheshwari, Michiel Smid
Publisher: Carleton University 2012
Number of pages: 246
This is a free textbook for an undergraduate course on the Theory of Computation. Contents: Finite Automata and Regular Languages; Context-Free Languages; Turing Machines and the Church-Turing Thesis; Decidable and Undecidable Languages; Complexity Theory.
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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 Helene Kirchner, Pierre-Etienne Moreau - ESSLLI
This text first introduces the concept of rewriting which is behind rule-based systems. Then the rewriting logic and the rewriting calculus are defined and shown to be especially suited to describing concurrent and non-deterministic computations.
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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.
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These original 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 computer science, physics, economics, biology, and many other areas.