On the approximability of orthogonal order preserving layout adjustment

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Abstract

Given an initial placement of a set of rectangles in the plane, we consider the problem of finding a disjoint placement of the rectangles that minimizes the area of the bounding box and preserves the orthogonal order i.e. maintains the sorted ordering of the rectangle centers along both x-axis and y-axis with respect to the initial placement. This problem is known as Layout Adjustment for Disjoint Rectangles (LADR). It was known that LADR is ℕℙ-hard, but only heuristics were known for it. We show that a certain decision version of LADR is (image found)ℙ(image found)-hard, and give a constant factor approximation for LADR.

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Bandyapadhyay, S., Bhowmick, S., & Varadarajan, K. (2015). On the approximability of orthogonal order preserving layout adjustment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9214, pp. 54–65). Springer Verlag. https://doi.org/10.1007/978-3-319-21840-3_5

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