Fast searching in a real algebraic manifold with applications to geometric complexity

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Abstract

This paper generalizes the multidimensional searching scheme of Dobkin and Lipton [SIAM J. Comput. 5(2), pp. 181–186, 1976] for the case of arbitrary (as opposed to linear) real algebraic varieties. Let d,r be two positive constants and let P1,…,Pn be n rational r-variate polynomials of degree ≤d. Our main result is an O(n2r + 6) data structure for computing the predicate [∃i (1≤i≤n)|Pi(x)=0] in O(log n) time, for any x∈Er. The method is intimately based on a decomposition technique due to Collins [Proc. 2nd GI Conf. on Automata Theory and Formal Languages, pp. 134–183, 1975]. The algorithm can be used to solve problems in computational geometry via a locus approach. We illustrate this point by deriving an o(n2) algorithm for computing the time at which the convex hull of n (algebraically) moving points in E2 reaches a steady state.

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Chazelle, B. (1985). Fast searching in a real algebraic manifold with applications to geometric complexity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 185 LNCS, pp. 145–156). Springer Verlag. https://doi.org/10.1007/3-540-15198-2_9

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