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Let $P \subset \mathbb{R}^d$ be a set of $n$ points in $d$ dimensions such that each point $p \in P$ has an associated radius $r_p > 0$. The transmission graph $G$ for $P$ is the directed graph with vertex set $P$ such that there is an edge…

计算几何 · 计算机科学 2020-03-13 Haim Kaplan , Wolfgang Mulzer , Liam Roditty , Paul Seiferth

This paper addresses the problem of finding the nearest neighbor (or one of the R-nearest neighbors) of a query object q in a database of n objects. In contrast with most existing approaches, we can only access the ``hidden'' space in which…

数据结构与算法 · 计算机科学 2009-09-14 Dominique Tschopp , Suhas Diggavi

We study optimization problems in a metric space $(\mathcal{X},d)$ where we can compute distances in two ways: via a ''strong'' oracle that returns exact distances $d(x,y)$, and a ''weak'' oracle that returns distances $\tilde{d}(x,y)$…

数据结构与算法 · 计算机科学 2023-10-25 MohammadHossein Bateni , Prathamesh Dharangutte , Rajesh Jayaram , Chen Wang

In a graph $G$ with a source $s$, we design a distance oracle that can answer the following query: Query$(s,t,e)$ -- find the length of shortest path from a fixed source $s$ to any destination vertex $t$ while avoiding any edge $e$. We…

数据结构与算法 · 计算机科学 2022-07-01 Dipan Dey , Manoj Gupta

We provide a decremental approximate Distance Oracle that obtains stretch of $1+\epsilon$ multiplicative and 2 additive and has $\hat{O}(n^{5/2})$ total cost (where $\hat{O}$ notation suppresses polylogarithmic and $n^{O(1)/\sqrt{n}}$…

数据结构与算法 · 计算机科学 2013-07-08 Ittai Abraham , Shiri Chechik

The biharmonic distance is a fundamental metric on graphs that measures the dissimilarity between two nodes, capturing both local and global structures. It has found applications across various fields, including network centrality, graph…

社会与信息网络 · 计算机科学 2026-01-16 Dehong Zheng , Zhongzhi Zhang

For any two point sets $A,B \subset \mathbb{R}^d$ of size up to $n$, the Chamfer distance from $A$ to $B$ is defined as $\text{CH}(A,B)=\sum_{a \in A} \min_{b \in B} d_X(a,b)$, where $d_X$ is the underlying distance measure (e.g., the…

数据结构与算法 · 计算机科学 2023-07-07 Ainesh Bakshi , Piotr Indyk , Rajesh Jayaram , Sandeep Silwal , Erik Waingarten

For an undirected unweighted graph G = (V, E) with n vertices and m edges, let d(u, v) denote the distance from u in V to v in V in G. An (alpha, beta)-stretch approximate distance oracle (ADO) for G is a data structure that, given u, v in…

数据结构与算法 · 计算机科学 2024-10-02 Tsvi Kopelowitz , Ariel Korin , Liam Roditty

Suppose we are given an $n$-node, $m$-edge input graph $G$, and the goal is to compute a spanning subgraph $H$ on $O(n)$ edges. This can be achieved in linear $O(m + n)$ time via breadth-first search. But can we hope for \emph{sublinear}…

数据结构与算法 · 计算机科学 2023-12-20 Greg Bodwin , Henry Fleischmann

In this paper, we propose a novel method to make distance predictions in real-world social networks. As predicting missing distances is a difficult problem, we take a two-stage approach. Structural parameters for families of synthetic…

社会与信息网络 · 计算机科学 2021-06-08 Gunjan Mahindre , Randy Paffenroth , Anura Jayasumana , Rasika Karkare

We show a procedure that, given oracle access to a function $f\colon \{0,1\}^n\to\{0,1\}$, produces oracle access to a function $f'\colon \{0,1\}^{n'}\to\{0,1\}$ such that if $f$ is monotone, then $f'$ is monotone, and if $f$ is…

计算复杂性 · 计算机科学 2025-12-16 Dor Minzer

We study point-to-point distance estimation in hypergraphs, where the query is parameterized by a positive integer s, which defines the required level of overlap for two hyperedges to be considered adjacent. To answer s-distance queries, we…

数据结构与算法 · 计算机科学 2024-03-20 Giulia Preti , Gianmarco De Francisci Morales , Francesco Bonchi

In this paper we consider the fundamental problem of approximating the diameter $D$ of directed or undirected graphs. In a seminal paper, Aingworth, Chekuri, Indyk and Motwani [SIAM J. Comput. 1999] presented an algorithm that computes in…

数据结构与算法 · 计算机科学 2012-07-17 Liam Roditty , Virginia Vassilevska Williams

We present a randomized approximation algorithm for computing traveling salesperson tours in undirected regular graphs. Given an $n$-vertex, $k$-regular graph, the algorithm computes a tour of length at most $\left(1+\frac{7}{\ln…

数据结构与算法 · 计算机科学 2014-06-16 Ashish Chiplunkar , Sundar Vishwanathan

In this paper we study the Steiner tree problem over a dynamic set of terminals. We consider the model where we are given an $n$-vertex graph $G=(V,E,w)$ with positive real edge weights, and our goal is to maintain a tree which is a good…

数据结构与算法 · 计算机科学 2016-06-27 Jakub Łącki , Jakub Oćwieja , Marcin Pilipczuk , Piotr Sankowski , Anna Zych

It is known that a better than $2$-approximation algorithm for the girth in dense directed unweighted graphs needs $n^{3-o(1)}$ time unless one uses fast matrix multiplication. Meanwhile, the best known approximation factor for a…

数据结构与算法 · 计算机科学 2020-04-28 Mina Dalirrooyfard , Virginia Vassilevska Williams

We consider the problem of building Distance Sensitivity Oracles (DSOs). Given a directed graph $G=(V, E)$ with edge weights in $\{1, 2, \dots, M\}$, we need to preprocess it into a data structure, and answer the following queries: given…

数据结构与算法 · 计算机科学 2021-09-03 Hanlin Ren

In the distance query model, we are given access to the vertex set of a $n$-vertex graph $G$, and an oracle that takes as input two vertices and returns the distance between these two vertices in $G$. We study how many queries are needed to…

组合数学 · 数学 2024-07-25 Paul Bastide

Edit distance is a measurement of similarity between two sequences such as strings, point sequences, or polygonal curves. Many matching problems from a variety of areas, such as signal analysis, bioinformatics, etc., need to be solved in a…

计算几何 · 计算机科学 2020-09-10 Kyle Fox , Xinyi Li

A line of work has looked at the problem of recovering an input from distance queries. In this setting, there is an unknown sequence $s \in \{0,1\}^{\leq n}$, and one chooses a set of queries $y \in \{0,1\}^{\mathcal{O}(n)}$ and receives…

数据结构与算法 · 计算机科学 2023-08-15 Zhuangfei Hu , Xinda Li , David P. Woodruff , Hongyang Zhang , Shufan Zhang