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[JP12] Minimum decomposition into convex binary matrices

Revue Internationale avec comité de lecture : Journal Discrete Applied Math. , vol. 160, pp. 1164-1175, 2012, (doi:doi:10.1016/j.dam.2012.01.013)
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Résumé: Motivated by Intensity Modulated Radiation Therapy, we consider the problem of the minimum decomposition of an integer matrix into hv-convex matrices with time and cardinality objectives. We study the special case where the matrix to decompose is a binary matrix (in this case, time decomposition and cardinality decomposition are the same). We prove that the decomposition into two hv-convex matrices or into two hv-convex polyominoes is polynomially solvable. For the decomposition into three hv-convex matrices the problem becomes NP-complete.

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BibTeX

@article {
JP12,
title="{Minimum decomposition into convex binary matrices}",
author="F. Jarray and C. Picouleau",
journal="Discrete Applied Math. ",
year=2012,
volume=160,
pages="1164-1175",
doi="doi:10.1016/j.dam.2012.01.013",
}