We give improved algorithms for constructing minimum directed and undirected cycle bases in graphs. For general graphs, the new algorithms are Monte Carlo and have running time O(m^ω ), where ω is the exponent of matrix multiplication. The previous best algorithm had running time O(m^2 n). For planar graphs, the new algorithm is deterministic and has running time O(n^2). The previous best algorithm had running time O(n^2 log n). A key ingredient to our improved running times is the insight that the search for minimum bases can be restricted to a set of candidate cycles of total length O(nm).

Breaking the O(m^2 n) Barrier for Minimum Cycle Bases.

RIZZI, ROMEO
2009-01-01

Abstract

We give improved algorithms for constructing minimum directed and undirected cycle bases in graphs. For general graphs, the new algorithms are Monte Carlo and have running time O(m^ω ), where ω is the exponent of matrix multiplication. The previous best algorithm had running time O(m^2 n). For planar graphs, the new algorithm is deterministic and has running time O(n^2). The previous best algorithm had running time O(n^2 log n). A key ingredient to our improved running times is the insight that the search for minimum bases can be restricted to a set of candidate cycles of total length O(nm).
2009
9783642041273
minimum cycle basis; cycle space; randomized algorithm; Monte Carlo algorithm; planar graphs
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/409548
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