Directed (Optimum Branchings), Super Dense MST: Difference between revisions

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(Created page with "{{DISPLAYTITLE:Directed (Optimum Branchings), Super Dense MST (Minimum Spanning Tree (MST))}} == Description == A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected; edge-weighted undirected graph that connects all the vertices together; without any cycles and with the minimum possible total edge weight. Here, we're given a directed graph with a root and $E=\Omega(V^2)$ edges, and we wish to find a spanning arborescence...")
 
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== Parameters ==  
== Parameters ==  


<pre>V: number of vertices
$V$: number of vertices
E: number of edges
 
U: maximum edge weight</pre>
$E$: number of edges
 
$U$: maximum edge weight


== Table of Algorithms ==  
== Table of Algorithms ==  

Latest revision as of 08:19, 10 April 2023

Description

A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected; edge-weighted undirected graph that connects all the vertices together; without any cycles and with the minimum possible total edge weight. Here, we're given a directed graph with a root and $E=\Omega(V^2)$ edges, and we wish to find a spanning arborescence of minimum weight that is rooted at the root.

Related Problems

Generalizations: Directed (Optimum Branchings), General MST

Related: Undirected, General MST, Undirected, Dense MST, Undirected, Planar MST, Undirected, Integer Weights MST

Parameters

$V$: number of vertices

$E$: number of edges

$U$: maximum edge weight

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Tarjan (directed, dense) 1987 $O(V^{2})$ $O(E)$ Exact Deterministic Time & Space

References/Citation

https://onlinelibrary-wiley-com.ezproxy.canberra.edu.au/doi/10.1002/net.3230070103