INTRODUCTION TO THE THEORY OF COMPUTATION, 3RD EDN
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Now you can clearly present even the most
complex computational theory topics to your students with Sipser’s distinct,
market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one
choice for today’s computational theory course, this highly anticipated
revision retains the unmatched clarity and thorough coverage that make it a
leading text for upper-level undergraduate and introductory graduate
students. This edition continues author Michael Sipser’s well-known,
approachable style with timely revisions, additional exercises, and more
memorable examples in key areas. A new first-of-its-kind theoretical
treatment of deterministic context-free languages is ideal for a better
understanding of parsing and LR grammars. This edition’s refined presentation
ensures a trusted accuracy and clarity that make the challenging study of
computational theory accessible and intuitive to students while maintaining
the subject’s rigor and formalism. Readers gain a solid understanding of the
fundamental mathematical properties of computer hardware, software, and
applications with a blend of practical and philosophical coverage and
mathematical treatments, including advanced theorems and proofs. INTRODUCTION
TO THE THEORY OF COMPUTATION, 3E, comprehensive coverage makes this an ideal
ongoing reference tool for those studying theoretical computing.
Now you can clearly present even the most
complex computational theory topics to your students with Sipser’s distinct,
market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one
choice for today’s computational theory course, this highly anticipated
revision retains the unmatched clarity and thorough coverage that make it a
leading text for upper-level undergraduate and introductory graduate
students. This edition continues author Michael Sipser’s well-known,
approachable style with timely revisions, additional exercises, and more
memorable examples in key areas. A new first-of-its-kind theoretical
treatment of deterministic context-free languages is ideal for a better
understanding of parsing and LR grammars. This edition’s refined presentation
ensures a trusted accuracy and clarity that make the challenging study of
computational theory accessible and intuitive to students while maintaining
the subject’s rigor and formalism. Readers gain a solid understanding of the
fundamental mathematical properties of computer hardware, software, and
applications with a blend of practical and philosophical coverage and
mathematical treatments, including advanced theorems and proofs. INTRODUCTION
TO THE THEORY OF COMPUTATION, 3E, comprehensive coverage makes this an ideal
ongoing reference tool for those studying theoretical computing.
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