Logo

Computability and Complexity from a Programming Perspective

Large book cover: Computability and Complexity from a Programming Perspective

Computability and Complexity from a Programming Perspective
by

Publisher: The MIT Press
ISBN/ASIN: 0262100649
ISBN-13: 9780262100649
Number of pages: 485

Description:
The author's goal as an educator and author is to build a bridge between computability and complexity theory and other areas of computer science, especially programming. Jones uses concepts familiar from programming languages to make computability and complexity more accessible to computer scientists and more applicable to practical programming problems.

Download or read it online for free here:
Download link
(1.7MB, PDF)

Similar books

Book cover: P, NP, and NP-Completeness: The Basics of Complexity TheoryP, NP, and NP-Completeness: The Basics of Complexity Theory
by - Cambridge University Press
The main focus of the current book is on the P-vs-NP Question and the theory of NP-completeness. Additional topics that are covered include the treatment of the general notion of a reduction between computational problems.
(5933 views)
Book cover: Communication Complexity (for Algorithm Designers)Communication Complexity (for Algorithm Designers)
by - Stanford University
The two biggest goals of the course are: 1. Learn several canonical problems that have proved the most useful for proving lower bounds; 2. Learn how to reduce lower bounds for fundamental algorithmic problems to communication complexity lower bounds.
(2431 views)
Book cover: Introduction to Computational ComplexityIntroduction to Computational Complexity
by
Lecture notes for a graduate course on computational complexity taught at the University of Washington. Alternating Turing machines are introduced very early, and deterministic and nondeterministic Turing machines treated as special cases.
(6626 views)
Book cover: Computability and ComplexityComputability and Complexity
- Wikibooks
This book is intended as an introductory textbook in Computability Theory and Complexity Theory, with an emphasis on Formal Languages. Its target audience is CS and Math students with some background in programming and data structures.
(5523 views)