Steven Homer, Alan L. Selman

eBook, PDF

Computability and Complexity Theory (eBook, PDF)

Beschreibung

An advanced textbook/reference for a first course in computability and complexity theory.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 16.67MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen
• Bekannt für fehlende wesentliche Barrierefreiheitsmerkmale

Produktdetails

• Verlag: Springer US
• Seitenzahl: 195
• Erscheinungstermin: 9. März 2013
• Englisch
• ISBN-13: 9781475735444
• Artikelnr.: 44064470

Rezensionen

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)