Building upon Fast Multipole Methods to Detect and Model Organizations

Abstract : Many models in natural and social sciences are comprised of sets of inter-acting entities whose intensity of interaction decreases with distance. This often leads to structures of interest in these models composed of dense packs of entities. Fast Multipole Methods are a family of methods developed to help with the calculation of a number of computable models such as described above. We propose a method that builds upon FMM to detect and model the dense structures of these systems.
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Journal articles
DCDIS Series B: Applications & Algorithms, 2009, 16 (4), pp.489 - 500


https://hal.archives-ouvertes.fr/hal-00422358
Contributor : Pierrick Tranouez <>
Submitted on : Thursday, October 8, 2009 - 9:58:20 AM
Last modification on : Thursday, October 8, 2009 - 10:35:23 AM

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  • HAL Id : hal-00422358, version 2
  • ARXIV : 0910.1014

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Pierrick Tranouez, Antoine Dutot. Building upon Fast Multipole Methods to Detect and Model Organizations. DCDIS Series B: Applications & Algorithms, 2009, 16 (4), pp.489 - 500. <hal-00422358v2>

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