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Dive into the research topics where Seinosuke Toda is active.

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Featured researches published by Seinosuke Toda.


SIAM Journal on Computing | 1991

PP is as hard as the polynomial-time hierarchy

Seinosuke Toda

In this paper, two interesting complexity classes, PP and


Theoretical Computer Science | 1992

Polynomial-time 1-Turing reductions from # PH to # P

Seinosuke Toda; Osamu Watanabe

\oplus {\text{P}}


Journal of Computer and System Sciences | 1992

Turing machines with few accepting computations and low sets for PP

Johannes Köbler; Uwe Schöning; Seinosuke Toda; Jacobo Torán

, are compared with PH, the polynomial-time hierarchy. It is shown that every set in PH is polynomial-time Turing reducible to a set in PP, and PH is included in


Theory of Computing Systems \/ Mathematical Systems Theory | 1991

On polynomial-time truth-table reducibility of intractable sets to P-selective sets

Seinosuke Toda

{\text{BP}} \cdot \oplus {\text{P}}


Discrete Applied Mathematics | 2005

Graph isomorphism completeness for chordal bipartite graphs and strongly chordal graphs

Ryuhei Uehara; Seinosuke Toda; Takayuki Nagoya

. As a consequence of the results, it follows that


structure in complexity theory annual conference | 1989

Turning machines with few accepting computations and low sets for PP

Johannes Köbler; Uwe Schöning; Seinosuke Toda; Jacobo Torán

{\text{PP}} \subseteq {\text{PH}}


Theoretical Computer Science | 2003

The complexity of counting self-avoiding walks in subgraphs of two-dimensional grids and hypercubes

Maciej Liskiewicz; Mitsunori Ogihara; Seinosuke Toda

(or


structure in complexity theory annual conference | 1993

The complexity of selecting maximal solutions

Zhi-Zhong Chen; Seinosuke Toda

\oplus {\text{P}} \subseteq {\text{PH}}


structure in complexity theory annual conference | 1991

Counting classes are at least as hard as the polynomial-time hierarchy

Seinosuke Toda; Mitsunori Ogiwara

) implies a collapse of PH. A stronger result is also shown: every set in PP(PH) is polynomial-time Turing reducible to a set in PP.


International Journal of Foundations of Computer Science | 1991

ON THE COMPLEXITY OF COMPUTING OPTIMAL SOLUTIONS

Zhi-Zhong Chen; Seinosuke Toda

In this paper, we investigate relative complexity between #P and other classes of functions. Our particular interest is to compare #P with #PH and with PFH by using polynomial-time reducibility and to demonstrate that a weaker notion of polynomial-time reducibility is sufficiently powerful for reducing #PH functions to #P functions. Our main result is stated as follows: Every function in #PH is polynomial-time 1-Turing reducible to some function in #P. That is, #PH⊆PF#P[1]. Some consequences of this result are as follows: Every function in PFH is polynomial-time 1-Turing reducible to some function in #P. If PF#P[1]⊆#PH, then PH collapses to a finite level; furthermore, if either #P⊆PFH or PFH⊆#P, then PH collapses to a finite level. We also give an affirmative answer to an open question posed by Valiant (1979), and we show a generalized result about p-rankability by Hemachandra (1987).

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Osamu Watanabe

University of Electro-Communications

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Thomas Thierauf

University of Electro-Communications

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Takayuki Nagoya

Tottori University of Environmental Studies

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Mitsunori Ogiwara

University of Electro-Communications

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Bireswar Das

Indian Institute of Technology Gandhinagar

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