Theory of Computational Complexity / Wiley-Interscience Series in Discrete Mathematics and Optimization (ePub)
(Sprache: Englisch)
Praise for the First Edition
"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."
--Zentralblatt MATH
A thorough revision based on advances in the...
"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."
--Zentralblatt MATH
A thorough revision based on advances in the...
sofort als Download lieferbar
eBook (ePub)
113.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Theory of Computational Complexity / Wiley-Interscience Series in Discrete Mathematics and Optimization (ePub)“
Praise for the First Edition
"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."
--Zentralblatt MATH
A thorough revision based on advances in the field of computational complexity and readers' feedback, the Second Edition of Theory of Computational Complexity presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered.
Maintaining extensive and detailed coverage, Theory of Computational Complexity, Second Edition, examines the theory and methods behind complexity theory, such as computational models, decision tree complexity, circuit complexity, and probabilistic complexity. The Second Edition also features recent developments on areas such as NP-completeness theory, as well as:
* A new combinatorial proof of the PCP theorem based on the notion of expander graphs, a research area in the field of computer science
* Additional exercises at varying levels of difficulty to further test comprehension of the presented material
* End-of-chapter literature reviews that summarize each topic and offer additional sources for further study
Theory of Computational Complexity, Second Edition, is an excellent textbook for courses on computational theory and complexity at the graduate level. The book is also a useful reference for practitioners in the fields of computer science, engineering, and mathematics who utilize state-of-the-art software and computational methods to conduct research.
"... complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity."
--Zentralblatt MATH
A thorough revision based on advances in the field of computational complexity and readers' feedback, the Second Edition of Theory of Computational Complexity presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered.
Maintaining extensive and detailed coverage, Theory of Computational Complexity, Second Edition, examines the theory and methods behind complexity theory, such as computational models, decision tree complexity, circuit complexity, and probabilistic complexity. The Second Edition also features recent developments on areas such as NP-completeness theory, as well as:
* A new combinatorial proof of the PCP theorem based on the notion of expander graphs, a research area in the field of computer science
* Additional exercises at varying levels of difficulty to further test comprehension of the presented material
* End-of-chapter literature reviews that summarize each topic and offer additional sources for further study
Theory of Computational Complexity, Second Edition, is an excellent textbook for courses on computational theory and complexity at the graduate level. The book is also a useful reference for practitioners in the fields of computer science, engineering, and mathematics who utilize state-of-the-art software and computational methods to conduct research.
Autoren-Porträt von Ding-Zhu Du, Ker-I Ko
DING-ZHU DU, PhD, is Professor in the Department of Computer Science at the University of Texas at Dallas. He has published over 180 journal articles in his areas of research interest, which include design and analysis of approximation algorithms for combinatorial optimization problems and communication networks. Dr. Du is also the coauthor of Problem Solving in Automata, Languages, and Complexity, also published by Wiley.KER-I KO, PhD, is Professor in the Department of Computer Science at National Chiao Tung University, Taiwan. He has published extensively in his areas of research interest, which include computational complexity theory and its applications to numerical computation. Dr. Ko is also the coauthor of Problem Solving in Automata, Languages, and Complexity, also published by Wiley.
Bibliographische Angaben
- Autoren: Ding-Zhu Du , Ker-I Ko
- 2014, 2. Auflage, 512 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118594975
- ISBN-13: 9781118594971
- Erscheinungsdatum: 18.07.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 22 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Theory of Computational Complexity / Wiley-Interscience Series in Discrete Mathematics and Optimization"
0 Gebrauchte Artikel zu „Theory of Computational Complexity / Wiley-Interscience Series in Discrete Mathematics and Optimization“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Theory of Computational Complexity / Wiley-Interscience Series in Discrete Mathematics and Optimization".
Kommentar verfassen