DagSemProc.08381.2.pdf
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08381 Executive Summary – Computational Complexity of Discrete Problems
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Dagstuhl Seminar Proceedings, Volume 8381
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
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- Publication Date: 2008-12-11
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Peter Bro Miltersen, Rüdiger Reischuk, Georg Schnitger, and Dieter van Melkebeek. 08381 Executive Summary – Computational Complexity of Discrete Problems. In Computational Complexity of Discrete Problems. Dagstuhl Seminar Proceedings, Volume 8381, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08381.2
https://doi.org/10.4230/DagSemProc.08381.2
Abstract
Estimating the computational complexity of discrete problems constitutes one of the central and classical topics in the theory of computation. Mathematicians and computer scientists have long tried to classify natural families of Boolean relations according to fundamental complexity measures like time and space, both in the uniform and in the nonuniform setting. Several models of computation have been developed in order to capture the various capabilities of digital computing devices, including parallelism, randomness, and quantum interference.
Keywords
- Computational complexity
- discrete problems
- Turing machines
- circuits
- proof complexity
- pseudorandomness
- derandomization
- cryptography
- computational learning
- communication complexity
- query complexity
- hardness of approximation
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