238
9 High-Dimension Model Representation via Sparse GridTechniques
Fig. 9.24 VIC-3D ® model response of Fig. 6.4 when block 2 is varied in depth from 0 to 20 mils
in four equal intervals, and the other blocks remain fixed at the values shown
Fig. 9.25 Showing a fourth-order polynomial fit to the peak values of the impedance data of
Fig. 9.24
as shown in the first column of the first row of Fig. 9.13. The algorithm for finding
the starting point is to determine the ‘nearest neighbor’ to the test data among the
9 High-Dimension Model Representation via Sparse GridTechniques
Fig. 9.24 VIC-3D ® model response of Fig. 6.4 when block 2 is varied in depth from 0 to 20 mils
in four equal intervals, and the other blocks remain fixed at the values shown
Fig. 9.25 Showing a fourth-order polynomial fit to the peak values of the impedance data of
Fig. 9.24
as shown in the first column of the first row of Fig. 9.13. The algorithm for finding
the starting point is to determine the ‘nearest neighbor’ to the test data among the