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Titlebook: Algorithms and Data Structures; 10th International W Frank Dehne,Jörg-Rüdiger Sack,Norbert Zeh Conference proceedings 2007 Springer-Verlag

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0302-9743 15 - 17, 2007, at Dalhousie University, Halifax, Canada. The workshop alternates with the Scandinavian Workshop on Algorithm Theory (SWAT), continuing the t- dition of SWAT and WADS starting with SWAT 1988 and WADS 1989. From 142 submissions, the Program Committee selected 54 papers for presentation
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Edges and Switches, Tunnels and Bridgesmulate several optimization criteria that try to capture the concept of a “good” cased drawing. Further, we address the algorithmic question of how to turn a given drawing into an optimal cased drawing. For many of the resulting optimization problems, we either find polynomial time algorithms or NP-hardness results.
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Drawing Colored Graphs on Colored Pointscrossing-free drawing of . such that each vertex of .. is mapped to a distinct point of ... Lower and upper bounds on the number of bends per edge are proved for any 3 ≤ . ≤ .. As a special case, we improve the upper and lower bounds presented in a paper by Pach and Wenger for . = . [. (2001), 17:717–728].
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Approximating the Maximum Sharing Problem regular circuit structures in VLSI design. We show that MS is NP-hard, present a polynomial-time 1.5-approximation algorithm, and show that . cannot be approximated with a factor better than . unless . = ..
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Simple and Space-Efficient Minimal Perfect Hash Functionsalgorithm in the literature with the third property either: .Thus, our main contribution is a scheme that gives low space usage for realistic values of .. The main technical ingredient is a new way of basing PHFs on random hypergraphs. Previously, this approach has been used to design simple PHFs with superlinear space usage.
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A Near Linear Time Approximation Scheme for Steiner Tree Among Obstacles in the PlaneBorradaile et al. (2007) for the Steiner tree problem in planar graphs. We prove this result for the Euclidean metric and also for all uniform orientation metrics, i.e. particularly the rectilinear and octilinear metrics.
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