Fast range-summable random variables for efficient aggregate estimation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
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We develop a polynomial time Monte-Carlo algorithm for estimating the number of solutions to a multivariate polynomial over $GF(2)$. This gives the first efficient method for estimating the number of points on algebraic varieties over $GF(2)$, the problem recently proven to be $\#P$-\complete\/ even for the cubic polynomials. The number of applications of the result has been also discussed.