2018
DOI: 10.1007/978-3-319-77404-6_12
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Partitioning Orthogonal Histograms into Rectangular Boxes

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Cited by 5 publications
(2 citation statements)
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“…This model allows switch from use the timeconsuming nonlinear programming methods (which are applied for placing objects specified by polygonal modeling, the practical application of which is limited only by the small size of the problem) to methods developed for placing voxelized objects. Unlike decomposition algorithms developed by other authors [28][29][30], the proposed algorithm is described and programmatically implemented invariantly with respect to the dimension of the problem to be solved. The developed algorithm provides decomposition of orthogonal polyhedrons of arbitrary shape, including those with holes or internal cavities.…”
Section: Resultsmentioning
confidence: 99%
“…This model allows switch from use the timeconsuming nonlinear programming methods (which are applied for placing objects specified by polygonal modeling, the practical application of which is limited only by the small size of the problem) to methods developed for placing voxelized objects. Unlike decomposition algorithms developed by other authors [28][29][30], the proposed algorithm is described and programmatically implemented invariantly with respect to the dimension of the problem to be solved. The developed algorithm provides decomposition of orthogonal polyhedrons of arbitrary shape, including those with holes or internal cavities.…”
Section: Resultsmentioning
confidence: 99%
“…Unlike decomposition algorithms developed by other authors [20][21][22], the proposed algorithm is described and programmatically implemented invariantly with respect to the dimension of the problem to be solved.…”
Section: Fig 4 Addition Operationmentioning
confidence: 99%