Models of Computation: Exploring the Power of Computing
by John E. Savage
Publisher: Addison-Wesley 1998
Number of pages: 698
John Savage re-examines theoretical computer science, offering a fresh approach that gives priority to resource tradeoffs and complexity classifications over the structure of machines and their relationships to languages. This viewpoint reflects a pedagogy motivated by the growing importance of computational models that are more realistic than the abstract ones studied in the 1950s, '60s and early '70s.
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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 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.
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.
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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.