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 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.
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 C. D. H. Cooper - Macquarie University
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