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Approximating Minimum-Area Rectangular and Convex Containers for Packing Convex Polygons

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Algorithms - ESA 2015

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9294))

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.

Research was partially carried out at the International INRIA-McGill-Victoria Workshop on Problems in Computational Geometry, Barbados 2015. Research by Mark de Berg was also supported by the Netherlands’ Organisation for Scientific Research (NWO) under project no. 024.002.003.

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Correspondence to Helmut Alt .

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Alt, H., de Berg, M., Knauer, C. (2015). Approximating Minimum-Area Rectangular and Convex Containers for Packing Convex Polygons. In: Bansal, N., Finocchi, I. (eds) Algorithms - ESA 2015. Lecture Notes in Computer Science(), vol 9294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48350-3_3

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  • DOI: https://doi.org/10.1007/978-3-662-48350-3_3

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