1.3.7 Generating Graphs
INPUT OUTPUT
Input Description:
Parameters describing the desired graph,
such as the number of vertices
n
, the number of edges
m
, or
the edge probability
p
.
Problem:
Generate (1) all, or (2) a random, or (3) the next graph satisfying
the parameters.
Implementations
The Stanford GraphBase (C) (rating 10)
Combinatorica (Mathematica) (rating 8)
Frank Ruskey's Combinatorial Generation Resources (Pascal) (rating 7)
LEDA - A Library of Efficient Data Types and Algorithms (C++) (rating 5)
Nijenhuis and Wilf: Combinatorial Algorithms (FORTRAN) (rating 4)
Related Problems
Generating Permutations
Graph Isomorphism
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This page last modified on Tue Jun 03, 1997
.