JournalsowrVol. 15, No. 4pp. 3025–3080

Complexity Theory

  • Peter Bürgisser

    Technische Universität Berlin, Germany
  • Irit Dinur

    Weizmann Institute of Science, Rehovot, Israel
  • Oded Goldreich

    Weizmann Institute of Science, Rehovot, Israel
  • Salil Vadhan

    Harvard University, Cambridge, USA
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Abstract

Computational Complexity Theory is the mathematical study of the intrinsic power and limitations of computational resources like time, space, or randomness. The current workshop focused on recent developments in various sub-areas including arithmetic complexity, Boolean complexity, communication complexity, cryptography, probabilistic proof systems, pseudorandomness, and quantum computation. Many of the developments are related to diverse mathematical fields such as algebraic geometry, combinatorial number theory, probability theory, representation theory, and the theory of error-correcting codes.

Cite this article

Peter Bürgisser, Irit Dinur, Oded Goldreich, Salil Vadhan, Complexity Theory. Oberwolfach Rep. 15 (2019), no. 4, pp. 3025–3080

DOI 10.4171/OWR/2018/51