In this paper, we give new sparse interpolation algorithms for black box univariate and multivariate rational functions h= f/g whose coefficients are integers with an upper bound. The main idea is as follows: choose a proper integer β and let h(β) = a/ b with gcd (a, b) = 1. Then f and g can be computed by solving the polynomial interpolation problems f(β) = ka and g(β) = ka for some unique integer k. Experimental results show that the univariate interpolation algorithm is almost optimal.
CITATION STYLE
Huang, Q. L., & Gao, X. S. (2017). Sparse rational function interpolation with finitely many values for the coefficients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10693 LNCS, pp. 227–242). Springer Verlag. https://doi.org/10.1007/978-3-319-72453-9_16
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