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Autor: =Christakos, George
Sólo un registro cumplió la condición especificada en la base de información BIBCYT.
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Yu, Hwa-Lung ; Christakos, George
Título: Porous Media Upscaling in Terms of Mathematical Epistemic Cognition
Páginas/Colación: 433-446 p.
Url: Ir a http://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000066000002000433000001&idtype=cvips&gifs=Yeshttp://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000066000002000433000001&idtype=cvips&gifs=Yes
SIAM Journal on Applied Mathematics Vol. 66, no. 2 Nov. 2005/Jan. 2006
Información de existenciaInformación de existencia

Palabras Claves: Palabras: EPISTEMIC EPISTEMIC, Palabras: POROUS MEDIA POROUS MEDIA, Palabras: STOCHASTIC STOCHASTIC, Palabras: UPSCALING UPSCALING

Resumen
RESUMEN

RESUMEN

 

In this work we revisit the meaning of the term "solution" with respect to a mathematical model representing a physical media upscaling system. A central aim is to combine the science of mind with human mathematical ideas to solve real-world upscaling problems. We propose that in certain cases a (nonconventional) epistemic cognition solution (which assumes that the model describes incomplete knowledge about nature and focuses on conceptual mechanisms and thinking processes) can lead to a more realistic upscaling analysis than a (conventional) ontologic approach (which assumes that the model describes nature as is and focuses on form manipulations). In the present work we apply the epistemic cognition approach to the solution of the two-dimensional bounded porous media upscaling problem. A formal framework is presented, and implementation issues related to the epistemic cognition methodology are considered. Numerical experiments are presented involving effective conductivities in bounded two-dimensional spatial domains, and insight is gained by comparing the results to existing ontologic upscaling solutions. In addition to  dealing with new and more general upscaling situations, the proposed approach can reproduce some well-known results, a fact that further demonstrates its power and nesting capabilities.

 

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno

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