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Flooding Countries and Destroying Dams

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Algorithms and Data Structures (WADS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4619))

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Abstract

In many applications of terrain analysis, pits or local minima are considered artifacts that must be removed before the terrain can be used. Most of the existing methods for local minima removal work only for raster terrains. In this paper we consider algorithms to remove local minima from polyhedral terrains, by modifying the heights of the vertices. To limit the changes introduced to the terrain, we try to minimize the total displacement of the vertices. Two approaches to remove local minima are analyzed: lifting vertices and lowering vertices. For the former we show that all local minima in a terrain with n vertices can be removed in the optimal way in time. For the latter we prove that the problem is NP-hard, and present an approximation algorithm with factor 2 ln k, where k is the number of local minima in the terrain.

This research has been partially funded by the Netherlands Organisation for Scientific Research (NWO) under the project GOGO.

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Frank Dehne Jörg-RĂ¼diger Sack Norbert Zeh

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© 2007 Springer-Verlag Berlin Heidelberg

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Silveira, R.I., van Oostrum, R. (2007). Flooding Countries and Destroying Dams. In: Dehne, F., Sack, JR., Zeh, N. (eds) Algorithms and Data Structures. WADS 2007. Lecture Notes in Computer Science, vol 4619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73951-7_21

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  • DOI: https://doi.org/10.1007/978-3-540-73951-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73948-7

  • Online ISBN: 978-3-540-73951-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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