Abstract
Consider a matrix with m rows and n pairs of columns. The linear matroid parity problem (LMPP) is to determine a maximum number of pairs of columns that are linearly independent. We show how to solve the linear matroid parity problem as a sequence of matroid intersection problems. The algorithm runs in \(\mathcal{O}(m^3n)\). Our algorithm is comparable to the best running time for the LMPP, and is far simpler and faster than the algorithm of Orlin and Vande Vate [10], who also solved the LMPP as a sequence of matroid intersection problems. In addition, the algorithm may be viewed naturally as an extension of the blossom algorithm for nonbipartite matchings.
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Orlin, J.B. (2008). A Fast, Simpler Algorithm for the Matroid Parity Problem. In: Lodi, A., Panconesi, A., Rinaldi, G. (eds) Integer Programming and Combinatorial Optimization. IPCO 2008. Lecture Notes in Computer Science, vol 5035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68891-4_17
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DOI: https://doi.org/10.1007/978-3-540-68891-4_17
Publisher Name: Springer, Berlin, Heidelberg
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