Evaluating smart sampling for constructing multidimensional surrogate models

Evaluating smart sampling for constructing multidimensional surrogate models

In this article, we extensively evaluate the smart sampling algorithm (SSA) developed by Garud et al. (2017a) for constructing multidimensional surrogate models. Our numerical evaluation shows that SSA outperforms Sobol sampling (QS) for polynomial and kriging surrogates on a diverse test bed of 13...

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Bibliographic Details
Main Authors: Garud, Sushant S., Karimi, Iftekhar A., Brownbridge, George P.E., Kraft, Markus
Other Authors: School of Chemical and Biomedical Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Adaptive Sampling
Experimental Design
DRNTU::Engineering::Chemical engineering
Online Access:https://hdl.handle.net/10356/90099
http://hdl.handle.net/10220/48382

Internet

https://hdl.handle.net/10356/90099
http://hdl.handle.net/10220/48382

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