We may believe SAT does not have small Boolean circuits. But is it possible that some language with small circuits looks indistiguishable from SAT to every polynomialtime bounded adversary? We rule out this possibility. More precisely, assuming SAT does not have small circuits, we show that for every languageAwith small circuits, there exists a probabilistic polynomial-time algorithm that makes black-box queries toA, and produces, for a given input length, a Boolean formula on whichAdiffers from SAT. A key step for obtaining this result is a new proof of the main result by Gutfreund, Shaltiel, and Ta-Shma reducing average-case hardness to worst-case hardness via uniform adversaries that know the algorithm they fool. The new adversary we con...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
We present a moderately exponential time algorithm for the satis_ability of Boolean formulas over th...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
We may believe SAT does not have small Boolean circuits. But is it possible that some language with ...
We study the question whether there is a computational advantage in deciding properties of Boolean ...
AbstractWe show that if SAT does not have small circuits, then there must exist a small number of sa...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
The paper proposes a probabilistic generalization of the well-known Strong Backdoor Set (SBS) concep...
AbstractWe show that polynomial time truth-table reducibility via Boolean circuits to SAT is the sam...
We observe that many important computational problems in NC 1 share a simple self-reducibility prope...
Presented on November 11, 2011 in Klaus 1116Runtime: 53:10 minutesConnections have been recently de...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
We show that polynomial time truth-table reducibility via Boolean circuits to SAT is the same as lo...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
Circuit analysis algorithms such as learning, SAT, minimum circuit size, and compression imply circu...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
We present a moderately exponential time algorithm for the satis_ability of Boolean formulas over th...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
We may believe SAT does not have small Boolean circuits. But is it possible that some language with ...
We study the question whether there is a computational advantage in deciding properties of Boolean ...
AbstractWe show that if SAT does not have small circuits, then there must exist a small number of sa...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
The paper proposes a probabilistic generalization of the well-known Strong Backdoor Set (SBS) concep...
AbstractWe show that polynomial time truth-table reducibility via Boolean circuits to SAT is the sam...
We observe that many important computational problems in NC 1 share a simple self-reducibility prope...
Presented on November 11, 2011 in Klaus 1116Runtime: 53:10 minutesConnections have been recently de...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
We show that polynomial time truth-table reducibility via Boolean circuits to SAT is the same as lo...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
Circuit analysis algorithms such as learning, SAT, minimum circuit size, and compression imply circu...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
We present a moderately exponential time algorithm for the satis_ability of Boolean formulas over th...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...