Theory of Computation
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- PrésentationBroché
- FormatGrand Format
- Poids0.752 kg
- Dimensions17,8 cm × 23,5 cm × 2,3 cm
- ISBN978-1-84996-571-2
- EAN9781849965712
- Date de parution21/10/2010
- ÉditeurSpringer
Résumé
In these early years of the 21st Century, researchers in the field of computing are delving ever further into the new possibilities of the science and to the primary tools that form its foundations. The theory behind computation has never been more important. Theory of Computation is a unique textbook that serves the dual purposes of covering core material in the foundations of computing, as well as providing an introduction to some more advanced contemporary topics.
This innovative text focuses primarily, although by no means exclusively, on computational complexity theory : The classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines ; circuits ; probabilistic machines ; interactive proof systems ; automata on infinite objects ; and logical formalisms.
Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Advanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study.
Computing professionals and other scientists interested in learning more about these topics will also find this text extremely useful.
This innovative text focuses primarily, although by no means exclusively, on computational complexity theory : The classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines ; circuits ; probabilistic machines ; interactive proof systems ; automata on infinite objects ; and logical formalisms.
Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Advanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study.
Computing professionals and other scientists interested in learning more about these topics will also find this text extremely useful.
In these early years of the 21st Century, researchers in the field of computing are delving ever further into the new possibilities of the science and to the primary tools that form its foundations. The theory behind computation has never been more important. Theory of Computation is a unique textbook that serves the dual purposes of covering core material in the foundations of computing, as well as providing an introduction to some more advanced contemporary topics.
This innovative text focuses primarily, although by no means exclusively, on computational complexity theory : The classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines ; circuits ; probabilistic machines ; interactive proof systems ; automata on infinite objects ; and logical formalisms.
Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Advanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study.
Computing professionals and other scientists interested in learning more about these topics will also find this text extremely useful.
This innovative text focuses primarily, although by no means exclusively, on computational complexity theory : The classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines ; circuits ; probabilistic machines ; interactive proof systems ; automata on infinite objects ; and logical formalisms.
Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Advanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study.
Computing professionals and other scientists interested in learning more about these topics will also find this text extremely useful.