Computer Science – Data Structures and Algorithms
Scientific paper
2009-01-28
Computer Science
Data Structures and Algorithms
The section break up in v2 is improved, parts are trimmed, other parts added (e.g graphs with up to 3000 vertices are handled)
Scientific paper
Several algorithms are presented. The standard algorithm generates all N anticliques of a graph with v vertices in time O(N^v2). It can e.g. be adapted to calculate the independence polynomial of G, to generate all maximum cardinality anticliques, or just one maximum anticlique. The latter was programmed using the Mathematica 6.0 code. For a random (45, 92)-graph G a maximum anticlique of size 21 was found in 1.344 sec, whereas the "hardwired" Mathematica command MaximumIndependentSet[G] clocked in at 155838 sec, which is five orders of magnitude slower.
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