Suguru Tamaki
Kyoto University
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Publication
Featured researches published by Suguru Tamaki.
conference on computational complexity | 2012
Kazuhisa Seto; Suguru Tamaki
We present a moderately exponential time algorithm for the satisfiability of Boolean formulas over the full binary basis. For formulas of size at most
international symposium on algorithms and computation | 2010
Kazuo Iwama; Kazuhisa Seto; Tadashi Takai; Suguru Tamaki
cn
theory and applications of satisfiability testing | 2007
Kazuhisa Makino; Suguru Tamaki; Masaki Yamamoto
, our algorithm runs in time
Discrete Applied Mathematics | 2010
Kazuhisa Makino; Suguru Tamaki; Masaki Yamamoto
2^{(1-\mu_c)n}
symposium on discrete algorithms | 2017
Daniel Lokshtanov; Ramamohan Paturi; Suguru Tamaki; Ryan Williams; Huacheng Yu
for some constant
mathematical foundations of computer science | 2016
Alexander Golovnev; Alexander S. Kulikov; Alexander Smal; Suguru Tamaki
\mu_c>0
mathematical foundations of computer science | 2016
Takayuki Sakai; Kazuhisa Seto; Suguru Tamaki; Junichi Teruyama
. As a byproduct of the running time analysis of our algorithm, we get strong average-case hardness of affine extractors for linear-sized formulas over the full binary basis.
international symposium on parameterized and exact computation | 2015
Takayuki Sakai; Kazuhisa Seto; Suguru Tamaki; Junichi Teruyama
This pager gives a new randomized algorithm which solves 3-SAT in time O(1.32113 n ). The previous best bound is O(1.32216 n ) due to Rolf (J. SAT, 2006). The new algorithm uses the same approach as Iwama and Tamaki (SODA 2004), but exploits the non-uniform initial assignment due to Hofmeister et al. (STACS 2002) against the Schoning’s local search (FOCS 1999).
theory and applications of satisfiability testing | 2014
Takayuki Sakai; Kazuhisa Seto; Suguru Tamaki
Gopalan et al. studied in ICALP06 [17] connectivity properties of the solution-space of Boolean formulas, and investigated complexity issues on the connectivity problems in Schaefers framework. A set S of logical relations is Schaefer if all relations in S are either bijunctive, Horn, dual Horn, or affine. They conjectured that the connectivity problem for Schaefer is in P. We disprove their conjecture by showing that there exists a set S of Horn relations such that the connectivity problem for S is coNP-complete. We also show that the connectivity problem for bijunctive relations can be solved in O(min{n|φ|, T(n)}) time, where n denotes the number of variables, φ denotes the corresponding 2-CNF formula, and T(n) denotes the time needed to compute the transitive closure of a directed graph of n vertices. Furthermore, we investigate a tractable aspect of Horn and dual Horn relations with respect to characteristic sets.
Theoretical Computer Science | 2010
Kazuo Iwama; Kazuhisa Seto; Suguru Tamaki
Gopalan et al. studied in [P. Gopalan, P.G. Kolaitis, E.N. Maneva, C.H. Papadimitriou, The connectivity of Boolean satisfiability: computational and structural dichotomies, in: Proceedings of the 33rd International Colloquium on Automata, Languages and Programming, ICALP 2006, 2006, pp. 346-357] and [P. Gopalan, P.G. Kolaitis, E.N. Maneva, C.H. Papadimitriou, The connectivity of Boolean satisfiability: computational and structural dichotomies, SIAM J. Comput. 38 (6) (2009) 2330-2355] connectivity properties of the solution-space of Boolean formulas, and investigated complexity issues on the connectivity problems in Schaefers framework. A set S of logical relations is Schaefer if all relations in S are either bijunctive, Horn, dual Horn, or affine. They first conjectured that the connectivity problem for Schaefer is in P. We disprove their conjecture by showing that there exists a set S of Horn relations such that the connectivity problem for S is coNP-complete. We also investigate a tractable aspect of Horn and dual Horn relations with respect to characteristic sets.