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: Introduction to Complexity TheoryIntroduction to Complexity Theory
by
Complexity theory is the study of the intrinsic complexity of computational tasks. The book is aimed at exposing the students to the basic results and research directions in the field. The focus was on concepts, complex technical proofs were avoided.
(11169 views)
Book cover: Specifying SystemsSpecifying Systems
by - Addison-Wesley Professional
This book shows how to write unambiguous specifications of complex computer systems. It provides a complete reference manual for the TLA+, the language developed by the author for writing simple and elegant specifications of algorithms and protocols.
(16223 views)
Book cover: Lecture Notes on Computational ComplexityLecture Notes on Computational Complexity
by
Notes from a graduate courses on Computational Complexity. The first 15 lectures cover fundamentals, the remaining is advanced material: Hastad's optimal inapproximability results, lower bounds for parity in bounded depth-circuits, and more.
(15486 views)
Book cover: Algorithmic Randomness and ComplexityAlgorithmic Randomness and Complexity
by - Springer
Computability and complexity theory are two central areas of research in theoretical computer science. This book provides a systematic, technical development of algorithmic randomness and complexity for scientists from diverse fields.
(10511 views)