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Modeling Dynamic Processes Using Granular Runge-Kutta Methods
San Jose, California November 02-November 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.1002007 IEEE International Conference on ...
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Tomas Co, "Modeling Dynamic Processes Using Granular Runge-Kutta Methods," Granular Computing, IEEE International Conference on, pp. 55, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/GrC.2007.100,
author = {Tomas Co},
title = {Modeling Dynamic Processes Using Granular Runge-Kutta Methods},
journal ={Granular Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3032-X},
pages = {55},
doi = {http://doi.ieeecomputersociety.org/10.1109/GrC.2007.100},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Granular Computing, IEEE International Conference on
TI - Modeling Dynamic Processes Using Granular Runge-Kutta Methods
SN - 0-7695-3032-X
SP
EP
A1 - Tomas Co,
PY - 2007
VL - 0
JA - Granular Computing, IEEE International Conference on
ER -
 
functions defined within the frameworks of multilayered granular domains, a nonlinear continuous-time dynamic process can be efficiently modeled. The several layers allow for the construction of models spanning different granular size to be used for appli- cations that require different levels of precision and efficiency. In this paper, we discuss a particular implementation of this approach using multilinear interpolation functions.
Citation:
Tomas Co, "Modeling Dynamic Processes Using Granular Runge-Kutta Methods," grc, pp.55, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
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