The Complexity of Deciding if a Boolean Function Can Be Computed by Circuits over a Restricted Basis
We study the complexity of the following algorithmic problem: Given a Boolean function f and a finite set of Boolean functions B , decide if there is a circuit with basis B that computes f . We show that if both f and all functions in B are given by their truth-table, the problem is in quasipolynom...
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| Published in: | Theory of computing systems Vol. 44; no. 1; pp. 82 - 90 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Springer-Verlag
01.01.2009
Springer Nature B.V |
| Subjects: | |
| ISSN: | 1432-4350, 1433-0490 |
| Online Access: | Get full text |
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| Summary: | We study the complexity of the following algorithmic problem: Given a Boolean function
f
and a finite set of Boolean functions
B
, decide if there is a circuit with basis
B
that computes
f
. We show that if both
f
and all functions in
B
are given by their truth-table, the problem is in quasipolynomial-size AC
0
, and thus cannot be hard for AC
0
(2) or any superclass like NC
1
, L, or NL. This answers an open question by Bergman and Slutzki (SIAM J. Comput.,
2000
). Furthermore we show that, if the input functions are not given by their truth-table but in a succinct way, i.e., by circuits (over any complete basis), the above problem becomes complete for the class coNP. |
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| Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
| ISSN: | 1432-4350 1433-0490 |
| DOI: | 10.1007/s00224-007-9030-9 |