Abstract
This paper addresses the computational complexity of optimization problems dealing with the covering of points in the discrete plane by rectangles. Particularly we prove the NP-hardness of such a problem(class) defined by the following objective function: Simultaneously minimize the total area, the total circumference and the number of rectangles used for covering (where the length of every rectangle side is required to lie in a given interval). By using a tiling argument we also prove that a variant of this problem, fixing only the minimal side length of rectangles, is NP-hard. Such problems may appear at the core of applications like data compression, image processing or numerically solving partial differential equations by multigrid computations.
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© 2004 Springer-Verlag Berlin Heidelberg
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Porschen, S. (2004). On the Time Complexity of Rectangular Covering Problems in the Discrete Plane. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_15
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DOI: https://doi.org/10.1007/978-3-540-24767-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22057-2
Online ISBN: 978-3-540-24767-8
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