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.
Home page url
Download or read it online for free here:
by V. E. Wolfengagen - JurInfoR
This work covers the advanced topics in main ideas of computing in general. Material is especially useful for the instructor, postgraduate and graduate students of IT-specialties and is suitable for the system of training of specialists.
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 Stephen Wolfram - Westview Press
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.
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.