Logo

Introduction to Computability Theory

Small book cover: Introduction to Computability Theory

Introduction to Computability Theory
by

Publisher: The University of Oslo
Number of pages: 95

Description:
This text is essentially consisting of two parts, Classical Computability Theory and Generalized Computability Theory. We will assume that the reader is familiar with the standard vocabulary of logic and set theory, but no advanced background from logic is required.

Download or read it online for free here:
Download link
(430KB, PDF)

Similar books

Book cover: Computability and Complexity from a Programming PerspectiveComputability and Complexity from a Programming Perspective
by - The MIT Press
The author builds a bridge between computability and complexity theory and other areas of computer science. Jones uses concepts familiar from programming languages to make computability and complexity more accessible to computer scientists.
(13977 views)
Book cover: Prolog Experiments in Discrete Mathematics, Logic, and ComputabilityProlog Experiments in Discrete Mathematics, Logic, and Computability
by - Portland State University
Programming experiments designed to help learning of discrete mathematics, logic, and computability. Most of the experiments are short and to the point, just like traditional homework problems, so that they reflect the daily classroom work.
(22428 views)
Book cover: Computability and RandomnessComputability and Randomness
by - Oxford University Press
Covering the basics as well as recent research results, this book provides an introduction to the interface of computability and randomness for graduates and researchers in computability theory, theoretical computer science, and measure theory.
(13147 views)
Book cover: Computability, Unsolvability, RandomnessComputability, Unsolvability, Randomness
by - The Pennsylvania State University
I exposit Turing's theory of computability and unsolvability, as subsequently developed by Kleene and Post. Second, I provide an introductory account of a research area which is currently very active: algorithmic randomness and Kolmogorov complexity.
(6443 views)