Introduction to computer theory / Daniel I.A. Cohen

By: Material type: TextTextPublication details: New York : Wiley, c1997Edition: Revised editionDescription: xii, 838 pages : illustrations ; 24 cmISBN:
  • 471137723
Subject(s): LOC classification:
  • QA 76.5 .C64 1997
Contents:
UTOMATA THEORY. Background. Languages. Recursive Definitions. Regular Expressions. Finite Automata. Transition Graphs. Kleene's Theorem. Finite Automata with Output. Regular Languages. Nonregular Languages. Decidability. PUSHDOWN AUTOMATA THEORY. Context-Free Grammars. Grammatical Format. Pushdown Automata. CFG = PDA. Non-Context-Free Languages. Context-Free Languages. Decidability. TURING THEORY. Turing Machines. Post Machines. Minsky's Theorem. Variations on the TM. TM Languages. The Chomsky Hierarchy. Computers. Bibliography. Indexes.
Summary: This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found "refreshing". It is easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems.
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Computer Science GC QA 76.5 .C64 1997 (Browse shelf(Opens below)) c.1 Available NULIB000002354

Includes bibliographical references and index.

UTOMATA THEORY. Background. Languages. Recursive Definitions. Regular Expressions. Finite Automata. Transition Graphs. Kleene's Theorem. Finite Automata with Output. Regular Languages. Nonregular Languages. Decidability. PUSHDOWN AUTOMATA THEORY. Context-Free Grammars. Grammatical Format. Pushdown Automata. CFG = PDA. Non-Context-Free Languages. Context-Free Languages. Decidability. TURING THEORY. Turing Machines. Post Machines. Minsky's Theorem. Variations on the TM. TM Languages. The Chomsky Hierarchy. Computers. Bibliography. Indexes.

This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found "refreshing". It is easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems.

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