May 11th – May 16th 2008, Dagstuhl Seminar 08201
Design and Analysis of Randomized and Approximation Algorithms
For support, please contact
The workshop was concerned with the newest developments in the design and analysis of randomized and approximation algorithms. The main focus of the workshop was on three specific topics: approximation algorithms for optimization problems, approximation algorithms for measurement problems, and decentralized networks as well as various interactions between them. This included all sorts of completely new algorithmic questions that lie on the interface of several different areas. Here, some new broadly applicable techniques have emerged recently for designing efficient approximation algorithms for various optimization and measurement problems. This workshop has addressed the above topics and also some new fundamental paradigms and insights into the algorithm design techniques.
The 30 lectures delivered at this workshop covered a wide body of research in the above areas. The Program of the meeting and Abstracts of all talks are listed in the subsequent sections of this report.
The meeting was held in a very pleasant and stimulating atmosphere. Thanks to everyone who made it a very interesting and enjoyable event.
- Martin Dyer
- Mark Jerrum
- Marek Karpinski
We thank Annette Beyer, Angelika Mueller-von Brochowski and Heike Clemens for their continuous support and help in organizing this workshop.
Dagstuhl Seminar Series
- 11241: "Design and Analysis of Randomized and Approximation Algorithms" (2011)
- 05201: "Design and Analysis of Randomized and Approximation Algorithms" (2005)
- 01231: "Design and Analysis of Randomized and Approximation Algorithms" (2001)
- 9124: "Randomized Algorithms" (1991)
- Modelling / Simulation
- Data Structures / Algorithms / Complexity
- Optimization / Scheduling
- Randomized Algorithms
- Approximation Algorithms
- Optimization Problems
- Linear and Semidefinite Programming
- Measurement Problems
- Decentralized Networks
- Internet Algorithms
- Algorithmic Game Theory