Sharp upper and lower bounds on the length of general Davenport-Schinzel Sequences
Journal of Combinatorial Theory Series A
Placing the largest similar copy of a convex polygon among polygonal obstacles
SCG '89 Proceedings of the fifth annual symposium on Computational geometry
Minimax geometric fitting of two corresponding sets of points
SCG '89 Proceedings of the fifth annual symposium on Computational geometry
A Fast Algorithm for Polygon Containment by Translation (Extended Abstract)
Proceedings of the 12th Colloquium on Automata, Languages and Programming
Polygon Placement Under Translation and Rotation
STACS '88 Proceedings of the 5th Annual Symposium on Theoretical Aspects of Computer Science
Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
SCG '92 Proceedings of the eighth annual symposium on Computational geometry
Labeling Points with Rectangles of Various Shapes
GD '00 Proceedings of the 8th International Symposium on Graph Drawing
Ready, set, go! the Voronoi diagram of moving points that start from a line
Information Processing Letters
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This paper considers the maximin placement of a convex polygon P inside a polygon Q, and introduce several new static and dynamic Voronoi diagrams to solve the problem. It is shown that P can be placed inside Q, using translation and rotation, so that the minimum Euclidean distance between any point on P and any point on Q is maximized in &Ogr;(m4n &lgr;16(mn) log mn) time, where m and n are the numbers of edges of P and Q, respectively, and &lgr;16(N) is the maximum length of Davenport-Schinzel sequences on N alphabets of order 16. If only translation is allowed, the problem can be solved in &Ogr;(mn log mn) time. The problem of placing multiple translates of P inside Q in a maximum manner is also considered, and in connection with this problem the dynamic Voronoi diagram of &kgr; rigidly moving sets of n points is investigated. The combinatorial complexity of this canonical dynamic diagram for &kgr;n points is shown to be &Ogr;(n2) and &Ogr;(n3&kgr;4 log* &kgr;) for &kgr; = 2, 3 and &kgr; ≥ 4, respectively. Several related problems are also treated in a unified way.