Directed (Optimum Branchings), General MST: Difference between revisions
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== Parameters == | == Parameters == | ||
V: number of vertices | $V$: number of vertices | ||
E: number of edges | $E$: number of edges | ||
U: maximum edge weight | $U$: 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 we wish to find a spanning arborescence of minimum weight that is rooted at the root.
Related Problems
Subproblem: Directed (Optimum Branchings), Super Dense 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 |
|---|---|---|---|---|---|---|
| Chu-Liu-Edmonds Algorithm | 1965 | $O(EV)$ | $O(E+V)$ | Exact | Deterministic | Time |
| Tarjan (directed, general) | 1987 | $O(ElogV)$ | $O(E)$ | Exact | Deterministic | Time & Space |
| Gabow, Galil, Spencer | 1984 | $O(VlogV+Eloglog(logV/log(E/V + {2})$)) | $O(E)$ | Exact | Deterministic | Time |
| Gabow et al, Section 3 | 1986 | $O(E+VlogV)$ | $O(E+V)$ | Exact | Deterministic | Time |
References/Citation
https://link-springer-com.ezproxy.canberra.edu.au/article/10.1007/BF02579168