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We investigate the number of maximal independent set queries required to reconstruct the edges of a hidden graph. We show that randomised adaptive algorithms need at least $\Omega(\Delta^2 \log(n / \Delta) / \log \Delta)$ queries to…

数据结构与算法 · 计算机科学 2024-04-05 Lukas Michel , Alex Scott

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

A feedback vertex set (FVS) of an undirected graph is a set of vertices that contains at least one vertex of each cycle of the graph. The feedback vertex set problem consists of constructing a FVS of size less than a certain given value.…

计算复杂性 · 计算机科学 2014-04-22 Hai-Jun Zhou

For a directed graph $G$ without loops or parallel edges, let $\beta(G)$ denote the size of the smallest feedback arc set, i.e., the smallest subset $X \subset E(G)$ such that $G \sm X$ has no directed cycles. Let $\gamma(G)$ be the number…

组合数学 · 数学 2008-09-29 Jacob Fox , Peter Keevash , Benny Sudakov

We study the directed global minimum vertex-cut problem: given a directed vertex-weighted graph $G$, compute a vertex-cut $(L,S,R)$ in $G$ of minimum value, which is defined to be the total weight of all vertices in $S$. The problem,…

数据结构与算法 · 计算机科学 2026-01-01 Julia Chuzhoy , Ron Mosenzon , Ohad Trabelsi

A feedback vertex set (FVS) in a digraph is a subset of vertices whose removal makes the digraph acyclic. In other words, it hits all cycles in the digraph. Lokshtanov et al. [TALG '21] gave a factor 2 randomized approximation algorithm for…

数据结构与算法 · 计算机科学 2024-02-12 Sushmita Gupta , Sounak Modak , Saket Saurabh , Sanjay Seetharaman

In the influence maximization (IM) problem, we are given a social network and a budget $k$, and we look for a set of $k$ nodes in the network, called seeds, that maximize the expected number of nodes that are reached by an influence cascade…

社会与信息网络 · 计算机科学 2021-05-11 Gianlorenzo D'Angelo , Debashmita Poddar , Cosimo Vinci

We consider the distributed optimization problem for the sum of convex functions where the underlying communications network connecting agents at each time is drawn at random from a collection of directed graphs. Building on an earlier work…

最优化与控制 · 数学 2020-09-16 Pouya Rezaeinia , Bahman Gharesifard

We study the $k$-edge connectivity problem on undirected graphs in the distributed sketching model, where we have $n$ nodes and a referee. Each node sends a single message to the referee based on its 1-hop neighborhood in the graph, and the…

数据结构与算法 · 计算机科学 2026-02-10 Peter Robinson , Ming Ming Tan

A digraph $D$ is an oriented graph if $D$ does not have a pair of opposite arcs. The degree of a vertex $v$ of $D$ is the sum of the in-degree and out-degree of $v.$ Let $fvs(D)$ be the minimum number of vertices whose deletion from $D$…

组合数学 · 数学 2025-12-02 Jiangdong Ai , Gregory Gutin , Xiangzhou Liu , Anders Yeo , Yacong Zhou

In modern applications of graphs algorithms, where the graphs of interest are large and dynamic, it is unrealistic to assume that an input representation contains the full information of a graph being studied. Hence, it is desirable to use…

数据结构与算法 · 计算机科学 2020-04-14 Nithin Varma , Yuichi Yoshida

We find new upper bounds on the size of a minimum totally dominating set for random regular graphs and for regular graphs with large girth. These bounds are obtained through the analysis of a local algorithm using a method due to Hoppen and…

组合数学 · 数学 2020-01-07 Carlos Hoppen , Giovane Mansan

We consider directed graph algorithms in a streaming setting, focusing on problems concerning orderings of the vertices. This includes such fundamental problems as topological sorting and acyclicity testing. We also study the related…

数据结构与算法 · 计算机科学 2021-05-19 Amit Chakrabarti , Prantar Ghosh , Andrew McGregor , Sofya Vorotnikova

The aspect ratio of a (positively) weighted graph $G$ is the ratio of its maximum edge weight to its minimum edge weight. Aspect ratio commonly arises as a complexity measure in graph algorithms, especially related to the computation of…

数据结构与算法 · 计算机科学 2025-06-30 Aaron Bernstein , Greg Bodwin , Nicole Wein

We prove an optimal $\Omega(n)$ lower bound on the randomized communication complexity of the much-studied Gap-Hamming-Distance problem. As a consequence, we obtain essentially optimal multi-pass space lower bounds in the data stream model…

计算复杂性 · 计算机科学 2012-07-02 Amit Chakrabarti , Oded Regev

The node-averaged complexity of a distributed algorithm running on a graph $G=(V,E)$ is the average over the times at which the nodes $V$ of $G$ finish their computation and commit to their outputs. We study the node-averaged complexity for…

分布式、并行与集群计算 · 计算机科学 2022-08-18 Alkida Balliu , Mohsen Ghaffari , Fabian Kuhn , Dennis Olivetti

We consider the problem of decomposing the edges of a directed graph into as few paths as possible. There is a natural lower bound for the number of paths needed in an edge decomposition of a directed graph $D$ in terms of its degree…

组合数学 · 数学 2021-09-29 Alberto Espuny Díaz , Viresh Patel , Fabian Stroh

This paper studies an open consensus network design problem: identifying the optimal simple directed graphs, given a fixed number of vertices and arcs, that maximize the second smallest real part of all Laplacian eigenvalues, referred to as…

最优化与控制 · 数学 2025-07-18 Susie Lu , Marco Gamarra , Ji Liu

The vertex expansion of the graph is a fundamental graph parameter. Given a graph $G=(V,E)$ and a parameter $\delta \in (0,1/2]$, its $\delta$-Small-Set Vertex Expansion (SSVE) is defined as \[ \min_{S : |S| = \delta |V|}…

数据结构与算法 · 计算机科学 2023-11-29 Suprovat Ghoshal , Anand Louis

In the study of deterministic distributed algorithms it is commonly assumed that each node has a unique $O(\log n)$-bit identifier. We prove that for a general class of graph problems, local algorithms (constant-time distributed algorithms)…

分布式、并行与集群计算 · 计算机科学 2013-12-24 Mika Göös , Juho Hirvonen , Jukka Suomela