Cantitate/Preț
Produs
Total produse
Vezi coșul
Complexity Theory: Exploring the Limits of Efficient Algorithms de Ingo Wegener

Complexity Theory: Exploring the Limits of Efficient Algorithms

Autor Ingo Wegener Traducere de R. Pruim
en Limba Engleză Paperback – 13 oct 2010
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 48545 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 13 oct 2010 48545 lei  6-8 săpt.
Hardback (1) 51759 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 11 apr 2005 51759 lei  6-8 săpt.

Preț: 48545 lei

Preț vechi: 60681 lei
-20% Nou

Puncte Express: 728
Preț estimativ în valută:
9291€ • 9801$ • 7743£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

 Adaugă în coș

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

Specificații

ISBN-13: 9783642059148
ISBN-10: 3642059147
Pagini: 320
Ilustrații: XII, 308 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:Softcover reprint of hardcover 1st ed. 2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Graduate

Cuprins

Algorithmic Problems & Their Complexity.- Fundamental Complexity Classes.- Reductions — Algorithmic Relationships Between Problems.- The Theory of NP-Completeness.- NP-complete and NP-equivalent Problems.- The Complexity Analysis of Problems.- The Complexity of Approximation Problems — Classical Results.- The Complexity of Black Box Problems.- Additional Complexity Classes and Relationships Between Complexity Classes.- Interactive Proofs.- The PCP Theorem and the Complexity of Approximation Problems.- Further Topics From Classical Complexity Theory.- The Complexity of Non-uniform Problems.- Communication Complexity.- The Complexity of Boolean Functions.

Recenzii

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)

Notă biografică

The author is a full professor at the Computer Science Department of Dortmund University. He is the author of 8 monographs and more than 150 journal and conference articles. He was head of the German youth competition in computer science and has obtained the university medal for excellent teaching. He is an elected member of the German Academy of Sciences and was head of the committee reviewing computer research projects in Germany.

Textul de pe ultima copertă

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.

Caracteristici

Introduction into Complexity Theory with recent results With complete proofs of all results Integration of new parts of Complexity Theory as inapproximability, PCP theorem, interactive proof systems, communication complexity, black-box optimization Includes supplementary material: sn.pub/extras