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ź-nets and simplex range queries

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TLDR
The concept of an ɛ-net of a set of points for an abstract set of ranges is introduced and sufficient conditions that a random sample is an Â-net with any desired probability are given.
Abstract
We demonstrate the existence of data structures for half-space and simplex range queries on finite point sets ind-dimensional space,dÂ?2, with linear storage andO(nÂ?) query time, $$\alpha = \frac{{d(d - 1)}}{{d(d - 1) + 1}} + \gamma for all \gamma > 0$$ . These bounds are better than those previously published for alldÂ?2. Based on ideas due to Vapnik and Chervonenkis, we introduce the concept of an Â?-net of a set of points for an abstract set of ranges and give sufficient conditions that a random sample is an Â?-net with any desired probability. Using these results, we demonstrate how random samples can be used to build a partition-tree structure that achieves the above query time.

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Citations
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Journal ArticleDOI

Computing the Detour and Spanning Ratio of Paths, Trees, and Cycles in 2D and 3D

TL;DR: Subquadratic algorithms for computing the detour and spanning ratio for paths, cycles, and trees embedded in $\mathbb{E}^{3}$ are developed, and it is shown that computing thedetour in $E3$ is at least as hard as Hopcroft’s problem.
Proceedings ArticleDOI

The method of hypergraph containers

TL;DR: A recently-developed technique for bounding the number (and controlling the typical structure) of finite objects with forbidden substructures is described, focusing on a small number of illustrative applications in areas such as extremal graph theory, Ramsey theory, additive combinatorics, and discrete geometry.
Proceedings ArticleDOI

Quasi-optimal upper bounds for simplex range searching and new zone theorems

TL;DR: In this article, the authors present quasi-optimal upper bounds for simplex range searching, where the problem is to preprocess a setP ofn points in ℜd so that, given any query simplexq, the points inP ∩q can be counted or reported efficiently.
Proceedings ArticleDOI

A fast Las Vegas algorithm for triangulating a simple polygon

TL;DR: An algorithm that triangulates a simple polygon on n vertices in log log expected time using random sampling on the input, and its running time does not depend on any assumptions about a probability distribution from which the polygon is drawn.
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Computing Many Faces in Arrangements of Lines and Segments

TL;DR: This work presents randomized algorithms for computing many faces in an arrangement of lines or of segments in the plane, which are considerably simpler and slightly faster than the previously known ones.
References
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Book ChapterDOI

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

TL;DR: This chapter reproduces the English translation by B. Seckler of the paper by Vapnik and Chervonenkis in which they gave proofs for the innovative results they had obtained in a draft form in July 1966 and announced in 1968 in their note in Soviet Mathematics Doklady.
Book

Algorithms in Combinatorial Geometry

TL;DR: This book offers a modern approach to computational geo- metry, an area thatstudies the computational complexity of geometric problems with an important role in this study.
Journal ArticleDOI

On the density of families of sets

TL;DR: This paper will answer the question in the affirmative by determining the exact upper bound of T if T is a family of subsets of some infinite set S then either there exists to each number n a set A ⊂ S with |A| = n such that |T ∩ A| = 2n or there exists some number N such that •A| c for each A⩾ N and some constant c.
Journal ArticleDOI

Central Limit Theorems for Empirical Measures

TL;DR: In this article, the convergence of a stochastic process indexed by a Gaussian process to a certain Gaussian processes indexed by the supremum norm was studied in a Donsker class.
Journal ArticleDOI

The power of geometric duality

TL;DR: A new formulation of the notion of duality that allows the unified treatment of a number of geometric problems is used, to solve two long-standing problems of computational geometry and to obtain a quadratic algorithm for computing the minimum-area triangle with vertices chosen amongn points in the plane.