07391 Abstracts Collection – Probabilistic Methods in the Design and Analysis of Algorithms

Authors Martin Dietzfelbinger, Shang-Hua Teng, Eli Upfal, Berthold Vöcking



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Author Details

Martin Dietzfelbinger
Shang-Hua Teng
Eli Upfal
Berthold Vöcking

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Martin Dietzfelbinger, Shang-Hua Teng, Eli Upfal, and Berthold Vöcking. 07391 Abstracts Collection – Probabilistic Methods in the Design and Analysis of Algorithms. In Probabilistic Methods in the Design and Analysis of Algorithms. Dagstuhl Seminar Proceedings, Volume 7391, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007) https://doi.org/10.4230/DagSemProc.07391.1

Abstract

From 23.09.2007 to 28.09.2007, the Dagstuhl Seminar 07391 "Probabilistic Methods in the Design and Analysis of Algorithms''was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
The seminar brought together leading researchers in probabilistic
methods to strengthen and foster collaborations among various areas of
Theoretical Computer Science. The interaction between researchers
using randomization in algorithm design and researchers studying known
algorithms and heuristics in probabilistic models enhanced the
research of both groups in developing new complexity frameworks and in
obtaining new algorithmic results.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available.

Subject Classification

Keywords
  • Algorithms
  • Randomization
  • Probabilistic analysis
  • Complexity

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