Problem Definition
Many application areas of algorithms research involve objects in motion. Virtual reality, simulation, air-traffic control, and mobile communication systems are just some examples. Algorithms that deal with objects in motion traditionally discretize the time axis and compute or update their structures based on the position of the objects at every time step. If all objects move continuously then in general their configuration does not change significantly between time steps—the objects exhibit spatial and temporal coherence. Although time-discretizationmethods can exploit spatial and temporal coherence they have the disadvantage that it is nearly impossible to choose the perfect time step. If the distance between successive steps is too large, then important interactions might be missed, if it is too small, then unnecessary computations will slow down the simulation. Even if the time step is chosen just right, this is not always a satisfactory solution: some objects...
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Recommended Reading
Basch, J.: Kinetic Data Structures. Ph. D. thesis, Stanford University (1999)
Basch, J., Guibas, L., Hershberger, J.: Data structures for mobile data. J. Algorithms 31, 1–28 (1999)
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Guibas, L.: Modeling Motion. In: Goodman, J., O'Rourke, J.: (eds), Handbook of Discrete and Computational Geometry. CRC Press, 2nd ed. (2004)
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© 2008 Springer-Verlag
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Speckmann, B. (2008). Kinetic Data Structures. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30162-4_191
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DOI: https://doi.org/10.1007/978-0-387-30162-4_191
Publisher Name: Springer, Boston, MA
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