| 1. |
- Björklund, Andreas, et al.
(författare)
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Listing Triangles
- 2014
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Ingår i: Automata, Languages, and Programming (Lecture notes in computer science). - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783662439487 ; 8572, s. 223-234
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Konferensbidrag (refereegranskat)abstract
- We present new algorithms for listing triangles in dense and sparse graphs. The running time of our algorithm for dense graphs is O~(n^ω+n^3(ω−1)/(5−ω)t^2(3−ω)/(5−ω)), and the running time of the algorithm for sparse graphs is O~(m^2ω/(ω+1)+m^3(ω−1)/(ω+1)t^(3−ω)/(ω+1)), where n is the number of vertices, m is the number of edges, t is the number of triangles to be listed, and ω < 2.373 is the exponent of fast matrix multiplication. With the current bound on ω, the running times of our algorithms are O~(n^2.373+n^1.568t^0.478) and O~(m^1.408+m^1.222t^0.186), respectively. We first obtain randomized algorithms with the desired running times and then derandomize them using sparse recovery techniques. If ω = 2, the running times of the algorithms become O~(n^2+nt^2/3) and O~(m^4/3+mt^1/3), respectively. In particular, if ω = 2, our algorithm lists m triangles in O~(m4/3) time. Pǎtraşcu (STOC 2010) showed that Ω(m^(4/3 − o(1))) time is required for listing m triangles, unless there exist subquadratic algorithms for 3SUM. We show that unless one can solve quadratic equation systems over a finite field significantly faster than the brute force algorithm, our triangle listing runtime bounds are tight assuming ω = 2, also for graphs with more triangles.
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| 2. |
- De Rezende, Susanna F., et al.
(författare)
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Automating algebraic proof systems is NP-hard
- 2021
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Ingår i: STOC 2021 - Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. - New York, NY, USA : ACM. - 0737-8017. - 9781450380539 ; , s. 209-222
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Konferensbidrag (refereegranskat)abstract
- We show that algebraic proofs are hard to find: Given an unsatisfiable CNF formula F, it is NP-hard to find a refutation of F in the Nullstellensatz, Polynomial Calculus, or Sherali-Adams proof systems in time polynomial in the size of the shortest such refutation. Our work extends, and gives a simplified proof of, the recent breakthrough of Atserias and Müller (JACM 2020) that established an analogous result for Resolution.
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