Cargando…

Computability and Complexity Theory

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 mov...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Homer, Steven (Autor), Selman, Alan L. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2011.
Edición:2nd ed. 2011.
Colección:Texts in Computer Science,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4614-0682-2
003 DE-He213
005 20220118142704.0
007 cr nn 008mamaa
008 111209s2011 xxu| s |||| 0|eng d
020 |a 9781461406822  |9 978-1-4614-0682-2 
024 7 |a 10.1007/978-1-4614-0682-2  |2 doi 
050 4 |a QA75.5-76.95 
072 7 |a UYA  |2 bicssc 
072 7 |a COM014000  |2 bisacsh 
072 7 |a UYA  |2 thema 
082 0 4 |a 004.0151  |2 23 
100 1 |a Homer, Steven.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Computability and Complexity Theory  |h [electronic resource] /  |c by Steven Homer, Alan L. Selman. 
250 |a 2nd ed. 2011. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2011. 
300 |a XVI, 300 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Texts in Computer Science,  |x 1868-095X 
505 0 |a 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. 
520 |a 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 and practical 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. 
650 0 |a Computer science. 
650 0 |a Algorithms. 
650 1 4 |a Theory of Computation. 
650 2 4 |a Algorithms. 
700 1 |a Selman, Alan L.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781461406815 
776 0 8 |i Printed edition:  |z 9781489989710 
776 0 8 |i Printed edition:  |z 9781461406839 
830 0 |a Texts in Computer Science,  |x 1868-095X 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4614-0682-2  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)