kriging-surrogate
代码说明：
Kriging代理模型适用于设计变量和试验样本较多的数据，建立设计变量与数据结果之间的数据模型，可用作进一步的优化设计(Kriging model applies to multiple design variables and large samples , can be used for further optimizational design)
文件列表：
krg
...\dace
...\....\dace_corrcubic.m,1236,2011-11-01
...\....\dace_correxp.m,1055,2011-11-01
...\....\dace_correxpg.m,1191,2011-11-01
...\....\dace_corrgauss.m,1043,2011-11-01
...\....\dace_corrgauss_ddr.m,1590,2012-01-13
...\....\dace_corrlin.m,1116,2011-11-01
...\....\dace_corrspherical.m,1250,2011-11-01
...\....\dace_corrspline.m,1926,2011-11-01
...\....\dace_evaluate.m,1723,2011-11-01
...\....\dace_fit.m,9626,2011-11-01
...\....\dace_predictor.m,2482,2011-11-01
...\....\dace_predictor_ddy.m,2037,2012-01-13
...\....\dace_predictor_dy.m,2041,2012-01-13
...\....\dace_predvar.m,2119,2011-11-01
...\....\dace_regpoly0.m,390,2011-11-01
...\....\dace_regpoly1.m,400,2011-11-01
...\....\dace_regpoly2.m,839,2011-11-01
...\....\data1.mat,2040,2002-08-05
...\srgtsKRGEvaluate.m,1855,2011-11-01
...\srgtsKRGFit.m,4020,2011-11-01
...\srgtsKRGMLEProcessVariance.m,1590,2011-11-01
...\srgtsKRGPredictionVariance.m,2060,2011-11-01
...\srgtsKRGPredictor.m,2095,2011-11-01
...\srgtsKRGSetOptions.m,5828,2012-03-07
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