Distributed Parallel Computing in Stochastic Modeling of Groundwater Systems

Stochastic modeling is a rapidly evolving, popular approach to the study of the uncertainty and heterogeneity of groundwater systems. However, the use of Monte Carlo‐type simulations to solve practical groundwater problems often encounters computational bottlenecks that hinder the acquisition of mea...

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Vydané v:	Ground water Ročník 51; číslo 2; s. 293 - 297
Hlavní autori:	Dong, Yanhui, Li, Guomin, Xu, Haizhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford, UK Blackwell Publishing Ltd 01.03.2013 Ground Water Publishing Company
Predmet:	basins batch systems China Computation Computer Simulation Distributed processing Encounters Groundwater Heterogeneity hydrologic models Indonesia Java (programming language) Models, Theoretical Monte Carlo Method Monte Carlo simulation Parallel processing Stochastic models Stochastic Processes Stochasticity uncertainty Beijing China China China, People's Rep., Beijing Indonesia
ISSN:	0017-467X, 1745-6584, 1745-6584
On-line prístup:	Získať plný text
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