General Weights: Difference between revisions
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(Created page with "{{DISPLAYTITLE:General Weights (Shortest Path (Directed Graphs))}} == Description == The shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. Here, the weights can be any real number. == Related Problems == Subproblem: Nonnegative Weights Related: Nonnegative Integer Weights, Second Shortest Simple Path, st-Shortest Path, 1-sensitiv...") |
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== Parameters == | == Parameters == | ||
$V$: number of vertices | |||
E: number of edges | |||
L: maximum absolute value of edge cost | $E$: number of edges | ||
$L$: maximum absolute value of edge cost | |||
== Table of Algorithms == | == Table of Algorithms == | ||
Currently no algorithms in our database for the given problem. | Currently no algorithms in our database for the given problem. | ||
Latest revision as of 08:52, 10 April 2023
Description
The shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. Here, the weights can be any real number.
Related Problems
Subproblem: Nonnegative Weights
Related: Nonnegative Integer Weights, Second Shortest Simple Path, st-Shortest Path, 1-sensitive (3/2)-approximate ss-shortest paths, 2-sensitive (7/5)-approximate st-shortest paths, 1-sensitive decremental st-shortest paths, 2-sensitive decremental st-shortest paths, Replacement Paths Problem
Parameters
$V$: number of vertices
$E$: number of edges
$L$: maximum absolute value of edge cost
Table of Algorithms
Currently no algorithms in our database for the given problem.