Aims and scope
computational complexity presents outstanding research in computational complexity. Its subject is at the interface between mathematics and theoretical computer science, with a clear mathematical profile and strictly mathematical format.
The central topics are:
Models of computation, complexity bounds (with particular emphasis on lower bounds), complexity classes, trade-off results
- for sequential and parallel computation
- for "general" (Boolean) and "structured" computation (e.g. decision trees, arithmetic circuits)
- for deterministic, probabilistic, and nondeterministic computation
- worst case and average case
Specific areas of concentration include:
- Structure of complexity classes (reductions, relativization questions, degrees, derandomization)
- Algebraic complexity (bilinear complexity, computations for polynomials, groups, algebras, and representations)
- Interactive proofs, pseudorandom generation, and randomness extraction
Complexity issues in:
- cryptography
- learning theory
- number theory
- logic (complexity of logical theories, cost of decision procedures)
- combinatorial optimization and approximate solutions
- distributed computing
- property testing
Bibliographic Data
comput. complex.
First published in 1991
1 volume per year, 2 issues per volume
approx. 500 pages per volume
Format: 15.5 x 23.5 cm
ISSN 1016-3328 (print)
ISSN 1420-8954 (electronic)
AMS Mathematical Citation Quotient (MCQ): 0.64 (2022)