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The Traveling Salesman Problem (TSP) in the $d$-dimensional Euclidean space is among the oldest and most famous NP-hard optimization problems. In breakthrough works, Arora [J. ACM 1998] and Mitchell [SICOMP 1999] gave the first polynomial…

数据结构与算法 · 计算机科学 2025-04-07 Tobias Mömke , Hang Zhou

Computing the diameter of a graph is a problem of great interest both in general algorithms research and specifically within fine-grained complexity, where it is a cornerstone hard problem. Recent work has achieved a full conditional lower…

数据结构与算法 · 计算机科学 2026-05-01 Yael Kirkpatrick , Liam Roditty , Richard Qi , Virginia Vassilevska Williams

We present a $(1+\epsilon)$-approximation algorithm running in $O(f(\epsilon)\cdot n \log^4 n)$ time for finding the diameter of an undirected planar graph with non-negative edge lengths.

数据结构与算法 · 计算机科学 2013-04-23 Oren Weimann , Raphael Yuster

We study the k nearest neighbors problem in the plane for general, convex, pairwise disjoint sites of constant description complexity such as line segments, disks, and quadrilaterals and with respect to a general family of distance…

计算几何 · 计算机科学 2019-10-29 Chih-Hung Liu

The "short cycle removal" technique was recently introduced by Abboud, Bringmann, Khoury and Zamir (STOC '22) to prove fine-grained hardness of approximation. Its main technical result is that listing all triangles in an $n^{1/2}$-regular…

数据结构与算法 · 计算机科学 2023-10-24 Amir Abboud , Karl Bringmann , Nick Fischer

The notion of shortcut partition, introduced recently by Chang, Conroy, Le, Milenkovi\'c, Solomon, and Than [CCLMST23], is a new type of graph partition into low-diameter clusters. Roughly speaking, the shortcut partition guarantees that…

数据结构与算法 · 计算机科学 2023-08-02 Hsien-Chih Chang , Jonathan Conroy , Hung Le , Lazar Milenkovic , Shay Solomon , Cuong Than

Designing approximate all-pairs distance oracles in the fully dynamic setting is one of the central problems in dynamic graph algorithms. Despite extensive research on this topic, the first result breaking the $O(\sqrt{n})$ barrier on the…

数据结构与算法 · 计算机科学 2023-03-13 Sebastian Forster , Gramoz Goranci , Yasamin Nazari , Antonis Skarlatos

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

We consider how to assign labels to any undirected graph with n nodes such that, given the labels of two nodes and no other information regarding the graph, it is possible to determine the distance between the two nodes. The challenge in…

数据结构与算法 · 计算机科学 2015-04-20 Stephen Alstrup , Cyril Gavoille , Esben Bistrup Halvorsen , Holger Petersen

We develop a new algorithmic technique that allows to transfer some constant time approximation algorithms for general graphs into random order streaming algorithms. We illustrate our technique by proving that in random order streams with…

数据结构与算法 · 计算机科学 2017-11-15 Pan Peng , Christian Sohler

Motivated by the problem of testing planarity and related properties, we study the problem of designing efficient {\em partition oracles}. A {\em partition oracle} is a procedure that, given access to the incidence lists representation of a…

数据结构与算法 · 计算机科学 2013-02-15 Reut Levi , Dana Ron

We show how to compute any symmetric Boolean function on $n$ variables over any field (as well as the integers) with a probabilistic polynomial of degree $O(\sqrt{n \log(1/\epsilon)})$ and error at most $\epsilon$. The degree dependence on…

数据结构与算法 · 计算机科学 2016-11-18 Josh Alman , Ryan Williams

It is unlikely that the discrete Fr\'echet distance between two curves of length $n$ can be computed in strictly subquadratic time. We thus consider the setting where one of the curves, $P$, is known in advance. In particular, we wish to…

计算几何 · 计算机科学 2024-04-08 Boris Aronov , Tsuri Farhana , Matthew J. Katz , Indu Ramesh

Let $G$ be an unweighted, undirected graph. An additive $k$-spanner of $G$ is a subgraph $H$ that approximates all distances between pairs of nodes up to an additive error of $+k$, that is, it satisfies $d_H(u,v) \le d_G(u,v)+k$ for all…

数据结构与算法 · 计算机科学 2017-04-17 Mathias Bæk Tejs Knudsen

We propose $\kappa$-approximate nearest neighbor (ANN) data structures for $n$ polygonal curves under the Fr\'{e}chet distance in $\mathbb{R}^d$, where $\kappa \in \{1+\varepsilon,3+\varepsilon\}$ and $d \geq 2$. We assume that every input…

计算几何 · 计算机科学 2023-05-03 Siu-Wing Cheng , Haoqiang Huang

We present an $(1+\varepsilon)$-approximation algorithm with quasi-polynomial running time for computing the maximum weight independent set of polygons out of a given set of polygons in the plane (specifically, the running time is $n^{O(…

计算几何 · 计算机科学 2017-03-16 Anna Adamaszek , Sariel Har-Peled , Andreas Wiese

We study vertex sparsification for distances, in the setting of planar graphs with distortion: Given a planar graph $G$ (with edge weights) and a subset of $k$ terminal vertices, the goal is to construct an $\varepsilon$-emulator, which is…

数据结构与算法 · 计算机科学 2022-06-23 Hsien-Chih Chang , Robert Krauthgamer , Zihan Tan

Given a set of $n$ sites from $\mathbb{R}^d$, each having some positive weight factor, the Multiplicatively Weighted Voronoi Diagram is a subdivision of space that associates each cell to the site whose weighted Euclidean distance is…

计算几何 · 计算机科学 2024-03-19 Joachim Gudmundsson , Martin P. Seybold , Sampson Wong

Approximate nearest-neighbor search is a fundamental algorithmic problem that continues to inspire study due its essential role in numerous contexts. In contrast to most prior work, which has focused on point sets, we consider…

计算几何 · 计算机科学 2021-04-01 Ahmed Abdelkader , David M. Mount

We study the approximability of two related problems on graphs with $n$ nodes and $m$ edges: $n$-Pairs Shortest Paths ($n$-PSP), where the goal is to find a shortest path between $O(n)$ prespecified pairs, and All Node Shortest Cycles…

数据结构与算法 · 计算机科学 2022-09-21 Mina Dalirrooyfard , Ce Jin , Virginia Vassilevska Williams , Nicole Wein