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相关论文: Near-Optimal Spanners for General Graphs in (Nearl…

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The greedy spanner is the highest quality geometric spanner (in e.g. edge count and weight, both in theory and practice) known to be computable in polynomial time. Unfortunately, all known algorithms for computing it take Omega(n^2) time,…

计算几何 · 计算机科学 2014-07-01 Sander P. A. Alewijnse , Quirijn W. Bouts , Alex P. ten Brink , Kevin Buchin

We give new sublinear and parallel algorithms for the extensively studied problem of approximating n-variable r-CSPs (constraint satisfaction problems with constraints of arity r up to an additive error. The running time of our algorithms…

数据结构与算法 · 计算机科学 2014-07-31 Grigory Yaroslavtsev

We revisit a classical graph-theoretic problem, the \textit{single-source shortest-path} (SSSP) problem, in weighted unit-disk graphs. We first propose an exact (and deterministic) algorithm which solves the problem in $O(n \log^2 n)$ time…

计算几何 · 计算机科学 2019-03-14 Haitao Wang , Jie Xue

Looking for sparsity is nowadays crucial to speed up the training of large-scale neural networks. Projections onto the $\ell_{1,2}$ and $\ell_{1,\infty}$ are among the most efficient techniques to sparsify and reduce the overall cost of…

机器学习 · 计算机科学 2025-02-28 Guillaume Perez , Laurent Condat , Michel Barlaud

In the minimum $k$-cut problem, we want to find the minimum number of edges whose deletion breaks the input graph into at least $k$ connected components. The classic algorithm of Karger and Stein runs in $\tilde O(n^{2k-2})$ time, and…

数据结构与算法 · 计算机科学 2021-12-02 Zhiyang He , Jason Li

For every fixed constant $\alpha > 0$, we design an algorithm for computing the $k$-sparse Walsh-Hadamard transform of an $N$-dimensional vector $x \in \mathbb{R}^N$ in time $k^{1+\alpha} (\log N)^{O(1)}$. Specifically, the algorithm is…

信息论 · 计算机科学 2015-04-30 Mahdi Cheraghchi , Piotr Indyk

We improve on random sampling techniques for approximately solving problems that involve cuts and flows in graphs. We give a near-linear-time construction that transforms any graph on n vertices into an O(n\log n)-edge graph on the same…

数据结构与算法 · 计算机科学 2007-05-23 Andras Benczur , David R. Karger

We give an algorithm that takes a directed graph $G$ undergoing $m$ edge insertions with lengths in $[1, W]$, and maintains $(1+\epsilon)$-approximate shortest path distances from a fixed source $s$ to all other vertices. The algorithm is…

数据结构与算法 · 计算机科学 2025-06-25 Yang P. Liu

We study the problem of graph clustering where the goal is to partition a graph into clusters, i.e. disjoint subsets of vertices, such that each cluster is well connected internally while sparsely connected to the rest of the graph. In…

数据结构与算法 · 计算机科学 2021-12-17 Thatchaphol Saranurak , Di Wang

Given an undirected edge-weighted graph $G=(V,E)$ with $m$ edges and $n$ vertices, the minimum cut problem asks to find a subset of vertices $S$ such that the total weight of all edges between $S$ and $V \setminus S$ is minimized. Karger's…

数据结构与算法 · 计算机科学 2020-08-07 Paweł Gawrychowski , Shay Mozes , Oren Weimann

We study the problem of maximizing the number of spanning trees in a connected graph by adding at most $k$ edges from a given candidate edge set. We give both algorithmic and hardness results for this problem: - We give a greedy algorithm…

数据结构与算法 · 计算机科学 2018-07-17 Huan Li , Stacy Patterson , Yuhao Yi , Zhongzhi Zhang

In this paper we provide an $O(m (\log \log n)^{O(1)} \log(1/\epsilon))$-expected time algorithm for solving Laplacian systems on $n$-node $m$-edge graphs, improving improving upon the previous best expected runtime of $O(m \sqrt{\log n}…

数据结构与算法 · 计算机科学 2023-04-04 Arun Jambulapati , Aaron Sidford

We give a nearly optimal sublinear-time algorithm for approximating the size of a minimum vertex cover in a graph G. The algorithm may query the degree deg(v) of any vertex v of its choice, and for each 1 <= i <= deg(v), it may ask for the…

数据结构与算法 · 计算机科学 2011-10-06 Krzysztof Onak , Dana Ron , Michal Rosen , Ronitt Rubinfeld

We study the problem of compressing a weighted graph $G$ on $n$ vertices, building a "sketch" $H$ of $G$, so that given any vector $x \in \mathbb{R}^n$, the value $x^T L_G x$ can be approximated up to a multiplicative $1+\epsilon$ factor…

数据结构与算法 · 计算机科学 2014-12-30 Jiecao Chen , Bo Qin , David P. Woodruff , Qin Zhang

We present a new scaling algorithm for maximum (or minimum) weight perfect matching on general, edge weighted graphs. Our algorithm runs in $O(m\sqrt{n}\log(nN))$ time, $O(m\sqrt{n})$ per scale, which matches the running time of the best…

数据结构与算法 · 计算机科学 2017-10-10 Ran Duan , Seth Pettie , Hsin-Hao Su

We give a simple algorithm for maintaining a $n^{o(1)}$-approximate spanner $H$ of a graph $G$ with $n$ vertices as $G$ receives edge updates by reduction to the dynamic All-Pairs Shortest Paths (APSP) problem. Given an initially empty…

数据结构与算法 · 计算机科学 2024-08-22 Rasmus Kyng , Simon Meierhans , Gernot Zöcklein

Fine-grained reductions have established equivalences between many core problems with $\tilde{O}(n^3)$-time algorithms on $n$-node weighted graphs, such as Shortest Cycle, All-Pairs Shortest Paths (APSP), Radius, Replacement Paths, Second…

数据结构与算法 · 计算机科学 2020-05-07 Andrea Lincoln , Virginia Vassilevska Williams , Ryan Williams

We give an embedding of the Poincar\'e halfspace $H^D$ into a discrete metric space based on a binary tiling of $H^D$, with additive distortion $O(\log D)$. It yields the following results. We show that any subset $P$ of $n$ points in $H^D$…

计算几何 · 计算机科学 2024-04-02 Eunku Park , Antoine Vigneron

Approximate random k-colouring of a graph G=(V,E) is a very well studied problem in computer science and statistical physics. It amounts to constructing a k-colouring of G which is distributed close to Gibbs distribution, i.e. the uniform…

离散数学 · 计算机科学 2011-07-06 Charilaos Efthymiou

For a graph $G$, let $Z(G,\lambda)$ be the partition function of the monomer-dimer system defined by $\sum_k m_k(G)\lambda^k$, where $m_k(G)$ is the number of matchings of size $k$ in $G$. We consider graphs of bounded degree and develop a…

数据结构与算法 · 计算机科学 2013-09-05 Marc Lelarge , Hang Zhou
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