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Introduction to the Theory of Computation [Hardcover]

$284.99     $340.00    16% Off      (Free Shipping)
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  • Category: Books
  • Author:  Sipser, Michael
  • Author:  Sipser, Michael
  • ISBN-10:  113318779X
  • ISBN-10:  113318779X
  • ISBN-13:  9781133187790
  • ISBN-13:  9781133187790
  • Publisher:  Cengage Learning
  • Publisher:  Cengage Learning
  • Pages:  504
  • Pages:  504
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2012
  • Pub Date:  01-Jun-2012
  • SKU:  113318779X-11-SPLV
  • SKU:  113318779X-11-SPLV
  • Item ID: 100698347
  • List Price: $340.00
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Sep 29 to Oct 01
  • Notes: Brand New Book. Order Now.
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. The number one choice for today's computational theory course, this revision continues the book's well-know, 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(k) 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's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.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.
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