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arXiv · 1412.4088

Faster Sparse Multivariate Polynomial Interpolation of Straight-Line Programs

Andrew Arnold·Mark Giesbrecht·Daniel S. Roche
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Abstract

Given a straight-line program whose output is a polynomial function of the inputs, we present a new algorithm to compute a concise representation of that unknown function. Our algorithm can handle any case where the unknown function is a multivariate polynomial, with coefficients in an arbitrary finite field, and with a reasonable number of nonzero terms but possibly very large degree. It is competitive with previously known sparse interpolation algorithms that work over an arbitrary finite field, and provides an improvement when there are a large number of variables.

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Andrew Arnold, Mark Giesbrecht, Daniel S. Roche. 2014-12-12. Faster Sparse Multivariate Polynomial Interpolation of Straight-Line Programs. https://arxiv.org/abs/1412.4088

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