Efficient computation of approximate isomorphisms between Boolean functions.

Information Processing Letters(2016)

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摘要
Arvind and Vasudev [2] have introduced the notion of an approximate isomorphism between two Boolean functions f and g. They furthermore designed two algorithms that construct an approximate isomorphism when given oracle access to f and g. The first of these algorithms is specialized to Boolean functions which are computable by constant-depth circuits. The second one applies to any pair of Boolean functions. It runs in exponential time and achieves optimality up to a factor of order n. In this paper, we present an improved analysis and come up with a variant of the second algorithm that runs in polynomial time and achieves optimality up to a factor of (approximately) 2.
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关键词
Randomized algorithms,Approximation algorithms,Analysis of algorithms,Boolean functions,Isomorphism problem
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