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Extracting optimal datasets for metamodelling and perspectives for incremental samplings

Lovison, A.; Rigoni, E. - In: Mathematics and Computers in Simulation (MATCOM) 81 (2010) 3, pp. 681-692

Selecting the best input values for the purpose of fitting a metamodel to the response of a computer code presents several issues. Classical designs for physical experiments (DoE) have been developed to deal with noisy responses, while general space filling designs, though being usually...

Persistent link: https://www.econbiz.de/10010869948

Spatial distribution characteristics of some air pollutants in Sydney

Duc, Hiep; Shannon, Ian; Azzi, Merched - In: Mathematics and Computers in Simulation (MATCOM) 54 (2000) 1, pp. 1-21

Spatial distribution characteristics may be used to help in siting of air monitoring stations. This technique is also helpful in predicting variations in the concentrations of air pollutants due to changes in meteorology.

Persistent link: https://www.econbiz.de/10010749345

Kriging-based subdivision schemes: Application to the reconstruction of non-regular environmental data

Baccou, Jean; Liandrat, Jacques - In: Mathematics and Computers in Simulation (MATCOM) 81 (2011) 10, pp. 2033-2050

This work is devoted to the construction of new kriging-based interpolating position-dependent subdivision schemes for … subdivision schemes with kriging theory. Thanks to an efficient stencil selection, they allow to cope the problem of non …-regular data prediction while keeping the interesting properties of kriging operators for the quantification of prediction errors …

Persistent link: https://www.econbiz.de/10010750213