改进 $3N$$ 电路复杂度下限

IF 0.7 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Computational Complexity Pub Date : 2023-12-01 DOI:10.1007/s00037-023-00246-9
Magnus Gausdal Find, Alexander Golovnev, Edward A. Hirsch, Alexander S. Kulikov
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Improving $$3N$$ Circuit Complexity Lower Bounds
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来源期刊
Computational Complexity
Computational Complexity 数学-计算机:理论方法
CiteScore
1.50
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: 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: crytography learning theory number theory logic (complexity of logical theories, cost of decision procedures) combinatorial optimization and approximate Solutions distributed computing property testing.
期刊最新文献
Improving $$3N$$ Circuit Complexity Lower Bounds On vanishing sums of roots of unity in polynomial calculus and sum-of-squares A Lower Bound on the Complexity of Testing Grained Distributions Parallel algorithms for power circuits and the word problem of the Baumslag group On Time-Space Tradeoffs for Bounded-Length Collisions in Merkle-Damgård Hashing
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