Peter BürgisserTechnische Universität Berlin, Germany
Irit DinurWeizmann Institute of Science, Rehovot, Israel
Oded GoldreichWeizmann Institute of Science, Rehovot, Israel
Salil VadhanHarvard University, Cambridge, USA
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 (2018), no. 4, pp. 3025–3080DOI 10.4171/OWR/2018/51