Approximating minimum-area rectangular and convex containers for packing convex polygons

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Abstract

We investigate the problem of finding a minimum-area container for the disjoint packing of a set of convex polygons by translations. In particular, we consider axis-parallel rectangles or arbitrary convex sets as containers. For both optimization problems which are NP-hard we develop efficient constant factor approximation algorithms.

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Alt, H., De Berg, M., & Knauer, C. (2015). Approximating minimum-area rectangular and convex containers for packing convex polygons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9294, pp. 25–34). Springer Verlag. https://doi.org/10.1007/978-3-662-48350-3_3

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