We motivate and visualize problems and methods for packing a set of objects into a given container, in particular a set of {different-size} circles or squares into a square or circular container. Questions of this type have attracted a considerable amount of attention and are known to be notoriously hard. We focus on a particularly simple criterion for deciding whether a set can be packed: comparing the total area A of all objects to the area C of the container. The critical packing density delta^* is the largest value A/C for which any set of area A can be packed into a container of area C. We describe algorithms that establish the critical density of squares in a square (delta^*=0.5), of circles in a square (delta^*=0.5390 ...), regular octagons in a square (delta^*=0.5685 ...), and circles in a circle (delta^*=0.5).
@InProceedings{becker_et_al:LIPIcs.SoCG.2019.63, author = {Becker, Aaron T. and Fekete, S\'{a}ndor P. and Keldenich, Phillip and Morr, Sebastian and Scheffer, Christian}, title = {{Packing Geometric Objects with Optimal Worst-Case Density}}, booktitle = {35th International Symposium on Computational Geometry (SoCG 2019)}, pages = {63:1--63:6}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-104-7}, ISSN = {1868-8969}, year = {2019}, volume = {129}, editor = {Barequet, Gill and Wang, Yusu}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.63}, URN = {urn:nbn:de:0030-drops-104678}, doi = {10.4230/LIPIcs.SoCG.2019.63}, annote = {Keywords: Packing, complexity, bounds, packing density} }
Feedback for Dagstuhl Publishing