Complexity Theory

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 fine-grained complexity, algorithmic fairness, pseudorandomness, cryptography, arithmetic complexity, Markov Chain Monte Carlo, structure vs. randomness in combinatorics and complexity, meta-complexity, and the complexity of approximation problems. Many of the developments are related to diverse mathematical fields such as algebra, geometry, combinatorics, analysis, and coding theory.

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Publication Details

Journal
Oberwolfach Reports
Published
2024-11-25
DOI
https://doi.org/10.4171/owr/2024/27
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Complexity Theory

Salil Vadhan, Peter Bürgisser, Irit Dinur
Oberwolfach Reports
Computability, Logic, AI Algorithms
article

Complexity Theory

Salil Vadhan, Peter Bürgisser, Irit Dinur
article en

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 fine-grained complexity, algorithmic fairness, pseudorandomness, cryptography, arithmetic complexity, Markov Chain Monte Carlo, structure vs. randomness in combinatorics and complexity, meta-complexity, and the complexity of approximation problems. Many of the developments are related to diverse mathematical fields such as algebra, geometry, combinatorics, analysis, and coding theory.

Oberwolfach ReportsVol. 21(2)
Harvard University Press (US), Technische Universität Berlin (DE), Weizmann Institute of Science (IL)
Openalex Percentile: Top 75%
Computability, Logic, AI Algorithms
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