Muutke küpsiste eelistusi

Introduction to the Theory of Computation, International Edition 3rd edition [Pehme köide]

4.24/5 (2160 hinnangut Goodreads-ist)
(Massachusetts Institute of Technology)
  • Formaat: Paperback / softback, 504 pages, kõrgus x laius x paksus: 234x164x22 mm, kaal: 616 g, Illustrations
  • Ilmumisaeg: 14-Nov-2012
  • Kirjastus: Course Technology Inc
  • ISBN-10: 1133187811
  • ISBN-13: 9781133187813
Teised raamatud teemal:
  • Pehme köide
  • Hind: 104,75 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 504 pages, kõrgus x laius x paksus: 234x164x22 mm, kaal: 616 g, Illustrations
  • Ilmumisaeg: 14-Nov-2012
  • Kirjastus: Course Technology Inc
  • ISBN-10: 1133187811
  • ISBN-13: 9781133187813
Teised raamatud teemal:
Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E, International Edition. The number one choice for today's computational theory course, this revision continues the book's well-known, approachable style with timely revisions, additional practice, 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. You 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, International Edition's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

Arvustused

Introduction. PART 1: AUTOMATA AND LANGUAGES. 1. Regular Languages. 2. Context-Free Languages. PART 2: COMPUTABILITY THEORY. 3. The Church-Turing Thesis. 4. Decidability. 5. Reducibility. 6. Advanced Topics in Computability Theory. PART 3: COMPLEXITY THEORY. 7. Time Complexity. 8. Space Complexity. 9. Intractability. 10. Advanced Topics in Complexity Theory. Selected Bibliography.

Introduction. PART 1: AUTOMATA AND LANGUAGES.
1. Regular Languages.
2. Context-Free Languages. PART 2: COMPUTABILITY THEORY.
3. The Church-Turing Thesis.
4. Decidability.
5. Reducibility.
6. Advanced Topics in Computability Theory. PART 3: COMPLEXITY THEORY.
7. Time Complexity.
8. Space Complexity.
9. Intractability.
10. Advanced Topics in Complexity Theory. Selected Bibliography.
Michael Sipser has taught theoretical computer science and mathematics at the Massachusetts Institute of Technology for the past 32 years. He is a Professor of Applied Mathematics, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and the current head of the mathematics department. He enjoys teaching and pondering the many mysteries of complexity theory.