Languages and Machines gives a mathematically sound presentation of the theory of computing at the junior and senior level, and is an invaluable tool for scientists investigating the theoretical foundations of computer science.
No special mathematical prerequisites are assumed; the theoretical concepts and associated mathematics are made accessible by a "learn as you go" approach that develops an intuitive understanding of the concepts through numerous examples and illustrations.
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Languages and Machines is a user-friendly text that covers the key ideas of the theory of computation clearly and thoroughly. Examples and numerous diagrams, including diagrams that illustrate the principle of induction, aid in the understanding of the material. Relative to other books containing similar information, this text contains in-depth coverage of languages and parsing.
No special mathematical prerequisites are assumed; the theoretical concepts and associated mathematics are made accessible by a 'learn as you go' approach that develops an intuitive understanding of the concepts through numerous examples and illustrations. Languages & Machines examines the languages of the Chomsky hierarchy, the grammars that generate them, and the finite automata that accept them. Sections on the Church-Turing thesis and computability theory further examine the development of abstract machines. Computational complexity and NP-completeness are introduced by analyzing the computations of Turing machines. Parsing with LL and LR grammars is included to emphasize language definition and to provide the groundwork for the study of compiler design.
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