000 | 02019nam a2200205Ia 4500 | ||
---|---|---|---|
008 | 210916s9999 xx 000 0 und d | ||
020 | _a9788131525296 (pbk.) | ||
082 |
_a511.35 _bSIP |
||
100 |
_aSipser, Michael _96352 |
||
245 | 0 | _aIntroduction to the theory of computation | |
250 | _a3rd ed. | ||
260 |
_aNew Delhi _bCengage Learning India Pvt Ltd _c2013 |
||
300 | _axxii, 458p. | ||
500 | _ahttps://www.cengage.co.in/book-list/print/introduction-to-the-theory-of-computation-66 | ||
520 | _aNow 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. | ||
650 |
_aMachine theory _94787 |
||
650 |
_aComputational complexity _9445 |
||
650 |
_aComputer science--Mathematics _93533 |
||
942 | _cBK | ||
999 |
_c6379 _d6379 |