Advances in the Theory of Computing
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All areas of Theoretical Computer Science, broadly construed, are of interest. In particular a non-exhaustive list of topics includes:
- Data Structures and algorithms
- Combinatorial Optimization
- Formal languages and Combinatorics on Words.
- Graph-theoretic and Combinatorial methods in Computer Science
- Algorithmic paradigms, including distributed, online, approximation, probabilistic, game-theoretic algorithms.
- Computational Complexity Theory, including structural complexity, boolean complexity, communication complexity, average-case complexity, derandomization and property testing.
- Logical approaches to complexity, including finite model theory.
- Algorithmic and computational learning theory.
- Aspects of computability theory, including computability in analysis and algorithmic information theory.
- Proof complexity.
- Computational social choice and game theory
- New computational paradigms: CNN computing, quantum, holographic and other non-standard approaches to Computability.
- Randomized methods, random graphs, threshold phenomena and typical-case complexity.
- Automata theory and other formal models, particularly in relation to formal verification methods such as model checking and runtime verification.
- Applications of theory, including wireless and sensor networks, computational biology
and computational economics. - Experimental algorithmics.
