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Synopsis
Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models
All topics are considered from an algorithmic point of view stressing the implications for algorithm design
"synopsis" may belong to another edition of this title.
Review
From the reviews:
"This book should be important and useful for students of computer science as an introduction to complexity theory with an emphasis on randomized and approximation algorithms ... . It contains 16 chapters and extends from the foundations of modern complexity theory to recent developments with implications for concrete applications. ... The text is well written ... and the translation is successful." (Gerhard Lischke, Mathematical Reviews, Issue 2006 j)
"Complexity theory is an extremely important and vivid field on the border of mathematics and computer science. ... Ingo Wegener certainly created an appealing, well-written book that is a definite choice for the specialists and lecturers when an undergraduate or graduate student asks for guidance into this challenging new field of mathematics." (Péter Hajnal, Acta Scientiarum Mathematicarum, Vol. 71, 2005)
From the Back Cover
Complexity theory is the theory of determining the necessary resources for the solution of algorithmic problems and, therefore, the limits of what is possible with the available resources. An understanding of these limits prevents the search for non-existing efficient algorithms. This textbook considers randomization as a key concept and emphasizes the interplay between theory and practice:
New branches of complexity theory continue to arise in response to new algorithmic concepts, and its results - such as the theory of NP-completeness - have influenced the development of all areas of computer science.
The topics selected have implications for concrete applications, and the significance of complexity theory for today's computer science is stressed throughout.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2005
- ISBN 10 3540210458
- ISBN 13 9783540210450
- BindingHardcover
- LanguageEnglish
- Number of pages320
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Complexity Theory
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Springer Berlin Heidelberg Apr 2005, 2005
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reflects recent developments in its emphasis on randomized and approximation algorithms and communication modelsAll topics are considered from an algorithmic point of view stressing the implications for algorithm design 324 pp. Englisch. Seller Inventory # 9783540210450
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Complexity Theory
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduction into Complexity Theory with recent resultsWith complete proofs of all resultsIntegration of new parts of Complexity Theory as inapproximability, PCP theorem, interactive proof systems, communication complexity, black-box optimi. Seller Inventory # 4884984
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Complexity Theory : Exploring the Limits of Efficient Algorithms
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Complexity theory is the theory of determining the necessary resources for the solution of algorithmic problems and, therefore, the limits of what is possible with the available resources. An understanding of these limits prevents the search for non-existing efficient algorithms. This textbook considers randomization as a key concept and emphasizes the interplay between theory and practice:New branches of complexity theory continue to arise in response to new algorithmic concepts, and its results- such as the theory of NP-completeness- have influenced the development of all areas of computer science.The topics selected have implications for concrete applications, and the significance of complexity theory for today's computer science is stressed throughout. Seller Inventory # 9783540210450
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