Vertical decomposition of shallow levels in 3-dimensional arrangements and its applications

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Abstract

Let F be a collection of n bivariate algebraic functions of constant maximum degree. We show that the combinatorial complexity of the vertical decomposition of the ≤k-level of the arrangement A(F) is O(k3+∈ψ(n/k)), for any ∈ > 0, where ψ(r) is the maximum complexity of the lower envelope of a subset of at most r functions of F. This result implies the existence of shallow cuttings, in the sense of [3, 31], of small size in arrangements of bivariate algebraic functions. We also present numerous applications of these results, including: (i) data structures for several generalized three-dimensional range searching problems; (ii) dynamic data structures for planar nearest and farthest neighbor searching under various fairly general distance functions; (iii) an improved (near-quadratic) algorithm for minimum-weight bipartite Euclidean matching in the plane; and (iv) efficient algorithms for certain geometric optimization problems in static and dynamic settings.

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Agarwal, P. K., Efrat, A., & Sharir, M. (1995). Vertical decomposition of shallow levels in 3-dimensional arrangements and its applications. In Proceedings of the Annual Symposium on Computational Geometry (Vol. Part F129372, pp. 39–50). Association for Computing Machinery. https://doi.org/10.1145/220279.220284

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