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相关论文: Efficient Algorithms for Solving Hypergraphic Stei…

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The Steiner Forest problem is an important generalization of the Steiner Tree problem. We are given an undirected graph with nonnegative edge costs and a collection of pairs of vertices. The task is to compute a cheapest forest with the…

数据结构与算法 · 计算机科学 2024-12-10 Jarosław Byrka , Fabrizio Grandoni , Vera Traub

The Steiner tree problem is one of the most prominent problems in network design. Given an edge-weighted undirected graph and a subset of the vertices, called terminals, the task is to compute a minimum-weight tree containing all terminals…

数据结构与算法 · 计算机科学 2024-08-09 Jarosław Byrka , Fabrizio Grandoni , Vera Traub

Until recently, LP relaxations have played a limited role in the design of approximation algorithms for the Steiner tree problem. In 2010, Byrka et al. presented a ln(4)+epsilon approximation based on a hypergraphic LP relaxation, but…

离散数学 · 计算机科学 2011-12-15 Michel X. Goemans , Neil Olver , Thomas Rothvoss , Rico Zenklusen

The bidirected cut relaxation is the characteristic representative of the bidirected relaxations ($\mathrm{\mathcal{BCR}}$) which are a well-known class of equivalent LP-relaxations for the NP-hard Steiner Tree Problem in Graphs (STP).…

数据结构与算法 · 计算机科学 2020-02-20 Robert Vicari

We investigate hypergraphic LP relaxations for the Steiner tree problem, primarily the partition LP relaxation introduced by Koenemann et al. [Math. Programming, 2009]. Specifically, we are interested in proving upper bounds on the…

离散数学 · 计算机科学 2015-05-14 Deeparnab Chakrabarty , Jochen Koenemann , David Pritchard

The Steiner tree problem is one of the classic and most fundamental $\mathcal{NP}$-hard problems: given an arbitrary weighted graph, seek a minimum-cost tree spanning a given subset of the vertices (terminals). Byrka \emph{et al}. proposed…

数据结构与算法 · 计算机科学 2018-11-02 Chi-Yeh Chen

The Steiner Tree problem asks for the cheapest way of connecting a given subset of the vertices in an undirected graph. One of the most prominent linear programming relaxations for Steiner Tree is the Bidirected Cut Relaxation (BCR).…

数据结构与算法 · 计算机科学 2026-02-24 Paul Paschmanns , Vera Traub

A promising approach for obtaining improved approximation algorithms for Steiner tree is to use the bidirected cut relaxation (BCR). The integrality gap of this relaxation is at least $36/31$, and it has long been conjectured that its true…

数据结构与算法 · 计算机科学 2023-09-12 Ali Çivril , Muhammed Mirza Biçer , Berkay Tahsin Tunca , Muhammet Yasin Kangal

We demonstrate that the integrality gap of the natural cut-based LP relaxation for the directed Steiner tree problem is $O(\log k)$ in quasi-bipartite graphs with $k$ terminals. Such instances can be seen to generalize set cover, so the…

数据结构与算法 · 计算机科学 2016-04-28 Zachary Friggstad , Jochen Koenemann , Mohammad Shadravan

We give the first constant-factor approximation algorithm for quasi-bipartite instances of Directed Steiner Tree on graphs that exclude fixed minors. In particular, for $K_r$-minor-free graphs our approximation guarantee is…

数据结构与算法 · 计算机科学 2022-11-08 Zachary Friggstad , Ramin Mousavi

The classical algorithm of Agrawal, Klein and Ravi [SIAM J. Comput., 24 (1995), pp. 440-456], stated in the setting of the primal-dual schema by Goemans and Williamson [SIAM J. Comput., 24 (1995), pp. 296-317] uses the undirected cut…

数据结构与算法 · 计算机科学 2019-11-19 Ali Çivril

The Steiner tree problem aims to determine a minimum edge-weighted tree that spans a given set of terminal vertices from a given graph. In the past decade, a considerable number of algorithms have been developed to solve this…

数据结构与算法 · 计算机科学 2024-08-23 Ming Sun , Xinyu Wu , Yi Zhou , Jin-Kao Hao , Zhang-Hua Fu

The Steiner tree problem is a classical NP-hard optimization problem with a wide range of practical applications. In an instance of this problem, we are given an undirected graph G=(V,E), a set of terminals R, and non-negative costs c_e for…

数据结构与算法 · 计算机科学 2007-12-24 Jochen Konemann , David Pritchard , Kunlun Tan

In this note, we show that the integrality gap of the $k$-Directed-Component- Relaxation($k$-DCR) LP for the Steiner tree problem, introduced by Byrka, Grandoni, Rothvob and Sanita (STOC 2010), is at most $\ln(4)<1.39$. The proof is…

数据结构与算法 · 计算机科学 2011-12-06 Mohammad Taghi Hajiaghayi , Shi Li

In the k-Connected Directed Steiner Tree problem (k-DST), we are given a directed graph G=(V, E) with edge (or vertex) costs, a root vertex r, a set of q terminals T, and a connectivity requirement k>0; the goal is to find a minimum-cost…

数据结构与算法 · 计算机科学 2019-11-22 Chun-Hsiang Chan , Bundit Laekhanukit , Hao-Ting Wei , Yuhao Zhang

The Directed Steiner Tree (DST) problem is defined on a directed graph $G=(V,E)$, where we are given a designated root vertex $r$ and a set of $k$ terminals $K \subseteq V \setminus {r}$. The goal is to find a minimum-cost subgraph that…

数据结构与算法 · 计算机科学 2025-10-13 Bundit Laekhanukit

In this work, we study the metric Steiner Tree problem on graphs focusing on computing lower bounds for the integrality gap of the bi-directed cut (BCR) formulation and introducing a novel formulation, the Complete Metric (CM) model,…

In the \emph{budgeted rooted node-weighted Steiner tree} problem, we are given a graph $G$ with $n$ nodes, a predefined node $r$, two weights associated to each node modelling costs and prizes. The aim is to find a tree in $G$ rooted at $r$…

数据结构与算法 · 计算机科学 2022-11-15 Gianlorenzo D'Angelo , Esmaeil Delfaraz

The Euclidean Steiner tree problem asks to find a min-cost metric graph that connects a given set of \emph{terminal} points $X$ in $\mathbb{R}^d$, possibly using points not in $X$ which are called Steiner points. Even though near-linear…

计算几何 · 计算机科学 2023-12-01 T-H. Hubert Chan , Gramoz Goranci , Shaofeng H. -C. Jiang , Bo Wang , Quan Xue

Directed Steiner Tree (DST) is a central problem in combinatorial optimization and theoretical computer science: Given a directed graph $G=(V, E)$ with edge costs $c \in \mathbb{R}_{\geq 0}^E$, a root $r \in V$ and $k$ terminals $K\subseteq…

数据结构与算法 · 计算机科学 2020-04-28 Xiangyu Guo , Guy Kortsarz , Bundit Laekhanukit , Shi Li , Daniel Vaz , Jiayi Xian
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