A Probabilistic Algorithm for Verification of Geometric Theorems

In this paper we combine the Schwartz-Zippel theorem with statistical inference theory and develop a new probabilistic algorithm instead of deterministic algorithms for geometry theorem proving. Our work includes an improved algorithm for estimating the upper bounds in the pseudo-remainder, and three selection criteria for statistical populations.

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