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Titlebook: Algorithms and Computation; 18th International S Takeshi Tokuyama Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 Algori

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On Mixing and Edge Expansion Properties in Randomized Broadcasting deriving an upper bound of ., where . denotes the mixing time of a certain random walk on .. After that we give a simple but useful upper bound which is based on a certain average value of the edge expansion of .. Unfortunately, both approaches do not give the right bound for Hypercubes. Therefore,
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https://doi.org/10.1007/978-3-476-03490-8cause of the scarcity of robust, efficient algorithms for terrain modeling and analysis that can handle massive data sets acquired by different technologies and that can rapidly detect and predict changes in the model as the new data is acquired.
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https://doi.org/10.1007/978-3-662-26428-7 complexity measure counts only the bitwise accesses to the data structure. We present several efficient data structures to represent integer that use a logarithmic number of bit inspections and a constant number of bit changes per operation.
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Modeling and Analyzing Massive Terrain Data Setscause of the scarcity of robust, efficient algorithms for terrain modeling and analysis that can handle massive data sets acquired by different technologies and that can rapidly detect and predict changes in the model as the new data is acquired.
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Integer Representation and Counting in the Bit Probe Model complexity measure counts only the bitwise accesses to the data structure. We present several efficient data structures to represent integer that use a logarithmic number of bit inspections and a constant number of bit changes per operation.
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