Kriging model applies to multiple design variables and large samples of data , can be used for further optimizational design

krg
...\dace
...\....\dace_corrcubic.m
...\....\dace_correxp.m
...\....\dace_correxpg.m
...\....\dace_corrgauss.m
...\....\dace_corrgauss_ddr.m
...\....\dace_corrlin.m
...\....\dace_corrspherical.m
...\....\dace_corrspline.m
...\....\dace_evaluate.m
...\....\dace_fit.m
...\....\dace_predictor.m
...\....\dace_predictor_ddy.m
...\....\dace_predictor_dy.m
...\....\dace_predvar.m
...\....\dace_regpoly0.m
...\....\dace_regpoly1.m
...\....\dace_regpoly2.m
...\....\data1.mat
...\srgtsKRGEvaluate.m
...\srgtsKRGFit.m
...\srgtsKRGMLEProcessVariance.m
...\srgtsKRGPredictionVariance.m
...\srgtsKRGPredictor.m
...\srgtsKRGSetOptions.m

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