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Cited by 2,784

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Introduction to the Theory of Computation

Sipser, Michael·1996·ACM SIGACT News

Abstract

"Michael Sipser's philosophy in writing this book is simple: make the subject interesting and relevant, and the students will learn. His emphasis on unifying computer science theory - rather than offering a collection of low-level details - sets the book apart, as do his intuitive explanations. Throughout the book, Sipser - a noted authority on the theory of computation - builds students' knowledge of conceptual tools used in computer science, the aesthetic sense they need to create elegant systems, and the ability to think through problems on their own. INTRODUCTION TO THE THEORY OF COMPUTATION provides a mathematical treatment of computation theory grounded in theorems and proofs. Proofs are presented with a "proof idea" component to reveal the concepts underpinning the formalism. Algorithms are presented using prose instead of pseudocode to focus attention on the algorithms themselves, rather than on specific computational models. Topic coverage, terminology, and order of presentation are traditional for an upper-level course in computer science theory. Users of the Preliminary Edition (now out of print) will be interested to note several new chapters on complexity theory: Chapter 8 on space complexity; Chapter 9 on provable intractability, and Chapter 10 on advanced topics, including approximation algorithms, alternation, interactive proof systems, cryptography, and parallel computing." -- Publisher's description.

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Metadata

Authors
Sipser, M.
Venue
ACM SIGACT News
Published
1996-03
Volume
27
Issue
1
Pages
27-29
ISSN
0163-5700 (ISSN-L)
OpenAlex
W1994584977
Cited by
2,784
References
0
FWCI
12.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Introduction to the Theory of Computation. https://app.cochat.ai/papers/10.1145/230514.571645
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Sipser, M. (1996). Introduction to the Theory of Computation. ACM SIGACT News. https://doi.org/10.1145/230514.571645

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.