Cantitate/Preț
Produs
Total produse
Vezi coșul
Computability and Complexity Theory de Steven Homer

Computability and Complexity Theory: Texts in Computer Science

Autor Steven Homer, Alan L. Selman
en Limba Engleză Paperback – 3 mar 2014
This revised and extensively expanded edition of Computability and Complexity Theory comprises essential materials that are core knowledge in the theory of computation. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations.  Subsequent chapters move from the qualitative aspects of classical computability theory to the quantitative aspects of complexity theory. Dedicated chapters on undecidability, NP-completeness, and relative computability focus on the limitations of computability and the distinctions between feasible and intractable.  Substantial new content in this edition includes:
  • a chapter on nonuniformity studying Boolean circuits, advice classes and the important result of Karp─Lipton.
  • a chapter studying properties of the fundamental probabilistic complexity classes
  • a study of the alternating Turing machine and uniform circuit classes.
  • an introduction of counting classes, proving the famous results of Valiant and Vazirani and of Toda
  • a thorough treatment of the proof that IP is identical to PSPACE
With its accessibility and well-devised organization, this text/reference is an excellent resource and guide for those looking to develop a solid grounding in the theory of computing. Beginning graduates, advanced undergraduates, and professionals involved in theoretical computer science, complexity theory, and computability will find the book an essential andpractical learning tool.
 
Topics and features:
  • Concise, focused  materials cover the most fundamental concepts and results in the field of modern complexity theory, including the theory of NP-completeness, NP-hardness, the polynomial hierarchy, and complete problems for other complexity classes
  • Contains information that otherwise exists only in research literature and presents it in a unified, simplified manner
  • Provides key mathematical background information, including sections on logic and number theory and algebra
  • Supported by numerous exercises and supplementary problems for reinforcement and self-study purposes
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 57267 lei  43-57 zile
  Springer Us – 3 mar 2014 57267 lei  43-57 zile
Hardback (1) 57874 lei  43-57 zile
  Springer Us – 9 dec 2011 57874 lei  43-57 zile

Din seria Texts in Computer Science

Preț: 57267 lei

Preț vechi: 71584 lei
-20% Nou

Puncte Express: 859
Preț estimativ în valută:
10961€ • 11424$ • 9124£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781489989710
ISBN-10: 1489989714
Pagini: 316
Ilustrații: XVI, 300 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2nd ed. 2011
Editura: Springer Us
Colecția Springer
Seria Texts in Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Preliminaries.- Introduction to Computability.- Undecidability.- Introduction to Complexity Theory.- Basic Results of Complexity Theory.- Nondeterminism and NP-Completeness.- Relative Computability.- Nonuniform Complexity.- Parallelism.- Probabilistic Complexity Classes.- Introduction to Counting Classes.- Interactive Proof Systems.- References.- Author Index.- Subject Index.

Recenzii

From the reviews:
"The difference between this new introductory graduate textbook in theoretical computer science and other texts is that the authors have chosen to concentrate on computability theory and computational complexity theory. They motivate this focus by pointing out that most students have been introduced to the theory of automata and formal languages as undergraduates. The topics are treated in depth and in full formal detail. Explicit homework assignments are tightly integrated into the exposition of the material." --Computing Reviews
"This book is intended for use in a modern graduate course in the theory of computing. … Mainly all old classical complexity results as well as a relatively recent result that space-bounded classes are closed under complements are included into the book. The textbook is self-contained. A list of useful homework problems is appended to each chapter. The book is well written and is recommended to students as well as specialists in theoretical computer science." (Anatoly V. Anisimov, Zentralblatt MATH, Vol. 1033 (8), 2004)
"This book is a solid textbook suited for one- or two-semester graduate courses on the theory of computing. …The authors are two leading researchers in the field of theoretical computer sciences, most notably complexity theory. … This textbook is an excellent resource and guide for those looking to develop a solid grounding in the theory of computing. Beginning graduates, advanced undergraduates and professionals involved in theoretical computer science, complexity theory and computability will find this book an essential and practical learning tool." (André Grosse, The Computer Journal, Vol. 45 (4), 2002)

Caracteristici

New edition includes revised and updated material, plus five new chapters Concise, focused materials cover the most fundamental concepts and results in the field of modern complexity theory Provides key mathematical background information, including sections on logic and number theory and algebra Supported by numerous exercises and supplementary problems for reinforcement and self-study purposes Includes supplementary material: sn.pub/extras