Abstract
We give a #SAT algorithm for boolean formulas over arbitrary finite bases. Let Bk be the basis composed of all boolean functions
on at most k inputs. For Bk-formulas on n inputs of size cn, our algorithm runs in time 2n(1-δc,k) for δc,k = c-O(c2k2k). We also show the
average-case hardness of computing affine extractors using linear-size
Bk-formulas.
We also give improved algorithms and lower bounds for formulas over finite unate bases, i.e., bases of functions which are monotone increasing or decreasing in each of the input variables.
We also give improved algorithms and lower bounds for formulas over finite unate bases, i.e., bases of functions which are monotone increasing or decreasing in each of the input variables.
Original language | English |
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Title of host publication | MFCS 2015 |
Number of pages | 20 |
Publication status | Published - 2015 |