03 March 2022 09:41:32 PM PWL_INTERP_2D_SCATTERED_TEST: C version Test the PWL_INTERP_2D_SCATTERED library. The R8LIB library is needed. This test also needs the TEST_INTERP_2D library. TEST01 R8TRIS2 computes the Delaunay triangulation of a set of nodes in 2D. TRIANGULATION_ORDER3_PRINT Information defining a triangulation. The number of nodes is 9 Node coordinates Row: 0 1 Col 0: 0 0 1: 0 1 2: 0.2 0.5 3: 0.3 0.6 4: 0.4 0.5 5: 0.6 0.4 6: 0.6 0.5 7: 1 0 8: 1 1 The number of triangles is 12 Sets of three nodes are used as vertices of the triangles. For each triangle, the nodes are listed in counterclockwise order. Triangle nodes Row: 0 1 2 Col 0: 1 0 2 1: 2 0 4 2: 1 2 3 3: 3 2 4 4: 5 6 4 5: 4 0 5 6: 6 3 4 7: 8 3 6 8: 5 0 7 9: 6 5 7 10: 6 7 8 11: 1 3 8 On each side of a given triangle, there is either another triangle, or a piece of the convex hull. For each triangle, we list the indices of the three neighbors, or (if negative) the codes of the segments of the convex hull. Triangle neighbors Row: 0 1 2 Col 0: -28 2 3 1: 1 6 4 2: 1 4 12 3: 3 2 7 4: 10 7 6 5: 2 9 5 6: 8 4 5 7: 12 7 11 8: 6 -34 10 9: 5 9 11 10: 10 -38 8 11: 3 8 -3 The number of boundary points is 4 The segments that make up the convex hull can be determined from the negative entries of the triangle neighbor list. # Tri Side N1 N2 1 9 2 0 7 2 11 2 7 8 3 12 3 8 1 4 1 1 1 0 TEST02 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. TRIANGULATION_ORDER3_PRINT Information defining a triangulation. The number of nodes is 9 Node coordinates Row: 0 1 Col 0: 0 0 1: 0 1 2: 0.2 0.5 3: 0.3 0.6 4: 0.4 0.5 5: 0.6 0.4 6: 0.6 0.5 7: 1 0 8: 1 1 The number of triangles is 12 Sets of three nodes are used as vertices of the triangles. For each triangle, the nodes are listed in counterclockwise order. Triangle nodes Row: 0 1 2 Col 0: 1 0 2 1: 2 0 4 2: 1 2 3 3: 3 2 4 4: 5 6 4 5: 4 0 5 6: 6 3 4 7: 8 3 6 8: 5 0 7 9: 6 5 7 10: 6 7 8 11: 1 3 8 On each side of a given triangle, there is either another triangle, or a piece of the convex hull. For each triangle, we list the indices of the three neighbors, or (if negative) the codes of the segments of the convex hull. Triangle neighbors Row: 0 1 2 Col 0: -28 1 2 1: 0 5 3 2: 0 3 11 3: 2 1 6 4: 9 6 5 5: 1 8 4 6: 7 3 4 7: 11 6 10 8: 5 -34 9 9: 4 8 10 10: 9 -38 7 11: 2 7 -3 The number of boundary points is 4 The segments that make up the convex hull can be determined from the negative entries of the triangle neighbor list. # Tri Side N1 N2 1 9 2 0 7 2 11 2 7 8 3 12 3 8 1 4 1 1 1 0 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 -0.2500 -0.2500 -0.7500 -0.7500 1 -0.2500 0.0000 -0.2500 -0.2500 2 -0.2500 0.2500 0.2500 0.2500 3 -0.2500 0.5000 0.7500 0.7500 4 -0.2500 0.7500 1.2500 1.2500 5 0.0000 -0.2500 -0.5000 -0.5000 6 0.0000 0.0000 0.0000 0.0000 7 0.0000 0.2500 0.5000 0.5000 8 0.0000 0.5000 1.0000 1.0000 9 0.0000 0.7500 1.5000 1.5000 10 0.2500 -0.2500 -0.2500 -0.2500 11 0.2500 0.0000 0.2500 0.2500 12 0.2500 0.2500 0.7500 0.7500 13 0.2500 0.5000 1.2500 1.2500 14 0.2500 0.7500 1.7500 1.7500 15 0.5000 -0.2500 -0.0000 0.0000 16 0.5000 0.0000 0.5000 0.5000 17 0.5000 0.2500 1.0000 1.0000 18 0.5000 0.5000 1.5000 1.5000 19 0.5000 0.7500 2.0000 2.0000 20 0.7500 -0.2500 0.2500 0.2500 21 0.7500 0.0000 0.7500 0.7500 22 0.7500 0.2500 1.2500 1.2500 23 0.7500 0.5000 1.7500 1.7500 24 0.7500 0.7500 2.2500 2.2500 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 1 RMS error is 0.0646687 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.9857 0.9857 1 0.1000 0.3000 0.8957 0.9716 2 0.1000 0.5000 0.5653 0.5182 3 0.1000 0.7000 0.3714 0.3412 4 0.1000 0.9000 0.2618 0.2805 5 0.3000 0.1000 0.9258 0.9610 6 0.3000 0.3000 0.9385 0.9836 7 0.3000 0.5000 0.6485 0.4690 8 0.3000 0.7000 0.3716 0.2576 9 0.3000 0.9000 0.1794 0.2174 10 0.5000 0.1000 0.5476 0.4855 11 0.5000 0.3000 0.6090 0.5210 12 0.5000 0.5000 0.4525 0.3258 13 0.5000 0.7000 0.2178 0.1080 14 0.5000 0.9000 0.1380 0.1166 15 0.7000 0.1000 0.3886 0.3614 16 0.7000 0.3000 0.5806 0.6136 17 0.7000 0.5000 0.4127 0.3994 18 0.7000 0.7000 0.1619 0.1503 19 0.7000 0.9000 0.1021 0.1021 20 0.9000 0.1000 0.2848 0.2372 21 0.9000 0.3000 0.4360 0.4569 22 0.9000 0.5000 0.2846 0.2904 23 0.9000 0.7000 0.1079 0.0910 24 0.9000 0.9000 0.0583 0.0563 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 2 RMS error is 0.02106 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.1147 0.1111 1 0.1000 0.3000 0.1961 0.2163 2 0.1000 0.5000 0.2121 0.2221 3 0.1000 0.7000 0.2202 0.2222 4 0.1000 0.9000 0.2222 0.2222 5 0.3000 0.1000 0.0319 0.0059 6 0.3000 0.3000 0.1220 0.1111 7 0.3000 0.5000 0.1781 0.2163 8 0.3000 0.7000 0.2048 0.2221 9 0.3000 0.9000 0.2222 0.2222 10 0.5000 0.1000 0.0079 0.0002 11 0.5000 0.3000 0.0595 0.0059 12 0.5000 0.5000 0.1383 0.1111 13 0.5000 0.7000 0.1794 0.2163 14 0.5000 0.9000 0.2216 0.2221 15 0.7000 0.1000 0.0000 0.0000 16 0.7000 0.3000 0.0002 0.0002 17 0.7000 0.5000 0.0556 0.0059 18 0.7000 0.7000 0.1083 0.1111 19 0.7000 0.9000 0.2163 0.2163 20 0.9000 0.1000 0.0000 0.0000 21 0.9000 0.3000 0.0000 0.0000 22 0.9000 0.5000 0.0029 0.0002 23 0.9000 0.7000 0.0206 0.0059 24 0.9000 0.9000 0.0946 0.1111 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 3 RMS error is 0.0338932 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.2311 0.2358 1 0.1000 0.3000 0.1394 0.1343 2 0.1000 0.5000 0.0695 0.0387 3 0.1000 0.7000 0.0707 0.0500 4 0.1000 0.9000 0.1396 0.1563 5 0.3000 0.1000 0.2926 0.3478 6 0.3000 0.3000 0.1889 0.1982 7 0.3000 0.5000 0.1575 0.0571 8 0.3000 0.7000 0.1616 0.0738 9 0.3000 0.9000 0.1899 0.2305 10 0.5000 0.1000 0.2507 0.2810 11 0.5000 0.3000 0.1461 0.1601 12 0.5000 0.5000 0.0876 0.0461 13 0.5000 0.7000 0.0908 0.0596 14 0.5000 0.9000 0.1762 0.1863 15 0.7000 0.1000 0.1630 0.1590 16 0.7000 0.3000 0.0960 0.0906 17 0.7000 0.5000 0.0445 0.0261 18 0.7000 0.7000 0.0369 0.0337 19 0.7000 0.9000 0.1054 0.1054 20 0.9000 0.1000 0.0871 0.0903 21 0.9000 0.3000 0.0491 0.0514 22 0.9000 0.5000 0.0211 0.0148 23 0.9000 0.7000 0.0272 0.0191 24 0.9000 0.9000 0.0632 0.0599 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 4 RMS error is 0.0243678 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.0700 0.0660 1 0.1000 0.3000 0.1148 0.1211 2 0.1000 0.5000 0.1354 0.1483 3 0.1000 0.7000 0.1135 0.1211 4 0.1000 0.9000 0.0766 0.0660 5 0.3000 0.1000 0.1112 0.1211 6 0.3000 0.3000 0.2157 0.2223 7 0.3000 0.5000 0.2138 0.2722 8 0.3000 0.7000 0.1749 0.2223 9 0.3000 0.9000 0.1245 0.1211 10 0.5000 0.1000 0.1428 0.1483 11 0.5000 0.3000 0.2371 0.2722 12 0.5000 0.5000 0.2630 0.3333 13 0.5000 0.7000 0.2396 0.2722 14 0.5000 0.9000 0.1411 0.1483 15 0.7000 0.1000 0.1165 0.1211 16 0.7000 0.3000 0.2145 0.2223 17 0.7000 0.5000 0.2398 0.2722 18 0.7000 0.7000 0.2205 0.2223 19 0.7000 0.9000 0.1211 0.1211 20 0.9000 0.1000 0.0766 0.0660 21 0.9000 0.3000 0.1224 0.1211 22 0.9000 0.5000 0.1450 0.1483 23 0.9000 0.7000 0.1150 0.1211 24 0.9000 0.9000 0.0668 0.0660 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 5 RMS error is 0.0467811 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.0011 0.0005 1 0.1000 0.3000 0.0063 0.0058 2 0.1000 0.5000 0.0188 0.0131 3 0.1000 0.7000 0.0067 0.0058 4 0.1000 0.9000 0.0047 0.0005 5 0.3000 0.1000 0.0058 0.0058 6 0.3000 0.3000 0.0695 0.0660 7 0.3000 0.5000 0.0693 0.1483 8 0.3000 0.7000 0.0363 0.0660 9 0.3000 0.9000 0.0121 0.0058 10 0.5000 0.1000 0.0263 0.0131 11 0.5000 0.3000 0.0865 0.1483 12 0.5000 0.5000 0.1344 0.3333 13 0.5000 0.7000 0.1166 0.1483 14 0.5000 0.9000 0.0125 0.0131 15 0.7000 0.1000 0.0068 0.0058 16 0.7000 0.3000 0.0594 0.0660 17 0.7000 0.5000 0.0965 0.1483 18 0.7000 0.7000 0.0768 0.0660 19 0.7000 0.9000 0.0058 0.0058 20 0.9000 0.1000 0.0033 0.0005 21 0.9000 0.3000 0.0075 0.0058 22 0.9000 0.5000 0.0211 0.0131 23 0.9000 0.7000 0.0092 0.0058 24 0.9000 0.9000 0.0013 0.0005 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 6 RMS error is 0.0180806 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.1746 0.1857 1 0.1000 0.3000 0.2565 0.2682 2 0.1000 0.5000 0.2762 0.2938 3 0.1000 0.7000 0.2580 0.2682 4 0.1000 0.9000 0.1526 0.1857 5 0.3000 0.1000 0.2531 0.2682 6 0.3000 0.3000 0.3364 0.3427 7 0.3000 0.5000 0.3343 0.3661 8 0.3000 0.7000 0.3094 0.3427 9 0.3000 0.9000 0.2412 0.2682 10 0.5000 0.1000 0.2766 0.2938 11 0.5000 0.3000 0.3501 0.3661 12 0.5000 0.5000 0.3617 0.3889 13 0.5000 0.7000 0.3470 0.3661 14 0.5000 0.9000 0.2856 0.2938 15 0.7000 0.1000 0.2602 0.2682 16 0.7000 0.3000 0.3379 0.3427 17 0.7000 0.5000 0.3507 0.3661 18 0.7000 0.7000 0.3380 0.3427 19 0.7000 0.9000 0.2682 0.2682 20 0.9000 0.1000 0.1594 0.1857 21 0.9000 0.3000 0.2573 0.2682 22 0.9000 0.5000 0.2813 0.2938 23 0.9000 0.7000 0.2545 0.2682 24 0.9000 0.9000 0.1768 0.1857 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 7 RMS error is 0.791415 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.4882 1.0091 1 0.1000 0.3000 0.0632 0.4480 2 0.1000 0.5000 -0.3180 -0.5568 3 0.1000 0.7000 1.2926 1.3542 4 0.1000 0.9000 -0.3702 1.2287 5 0.3000 0.1000 -0.4943 -1.3706 6 0.3000 0.3000 0.8294 0.5039 7 0.3000 0.5000 0.8474 2.8962 8 0.3000 0.7000 -0.1054 -0.4376 9 0.3000 0.9000 -1.2731 -0.3886 10 0.5000 0.1000 0.5320 0.9568 11 0.5000 0.3000 1.8509 1.0776 12 0.5000 0.5000 0.6402 0.0545 13 0.5000 0.7000 -0.5243 0.0219 14 0.5000 0.9000 -0.7664 -0.7437 15 0.7000 0.1000 1.2361 1.9130 16 0.7000 0.3000 1.0933 1.0760 17 0.7000 0.5000 -0.1089 -1.7967 18 0.7000 0.7000 -0.2092 0.0082 19 0.7000 0.9000 0.6382 0.6382 20 0.9000 0.1000 0.3073 -0.7501 21 0.9000 0.3000 0.4824 0.1702 22 0.9000 0.5000 0.1845 0.7699 23 0.9000 0.7000 -0.6264 -1.1804 24 0.9000 0.9000 0.0840 0.2189 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 8 RMS error is 0.432271 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.0038 0.0006 1 0.1000 0.3000 0.2559 0.1019 2 0.1000 0.5000 0.4853 0.7506 3 0.1000 0.7000 0.1237 0.1019 4 0.1000 0.9000 0.0768 0.0006 5 0.3000 0.1000 0.3056 0.1356 6 0.3000 0.3000 0.3164 0.2506 7 0.3000 0.5000 0.3669 0.9868 8 0.3000 0.7000 0.3070 0.2506 9 0.3000 0.9000 0.3512 0.1356 10 0.5000 0.1000 0.7820 1.0005 11 0.5000 0.3000 0.5910 1.2030 12 0.5000 0.5000 0.7601 2.5000 13 0.5000 0.7000 0.7415 1.2030 14 0.5000 0.9000 0.6612 1.0005 15 0.7000 0.1000 0.2203 0.1356 16 0.7000 0.3000 0.3795 0.2506 17 0.7000 0.5000 0.5014 0.9868 18 0.7000 0.7000 0.3480 0.2506 19 0.7000 0.9000 0.1356 0.1356 20 0.9000 0.1000 0.0204 0.0006 21 0.9000 0.3000 0.1838 0.1019 22 0.9000 0.5000 0.5678 0.7506 23 0.9000 0.7000 0.2287 0.1019 24 0.9000 0.9000 0.0274 0.0006 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 9 RMS error is 16.7099 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 1.6034 1.0265 1 0.1000 0.3000 4.6347 5.7630 2 0.1000 0.5000 5.9660 0.0000 3 0.1000 0.7000 -4.1937 -8.5418 4 0.1000 0.9000 -6.1631 -1.8651 5 0.3000 0.1000 4.5365 5.7630 6 0.3000 0.3000 26.6637 32.3542 7 0.3000 0.5000 20.7600 0.0000 8 0.3000 0.7000 -2.4982 -47.9552 9 0.3000 0.9000 -13.5956 -10.4712 10 0.5000 0.1000 -8.6655 0.0000 11 0.5000 0.3000 -5.0148 0.0000 12 0.5000 0.5000 48.0306 0.0000 13 0.5000 0.7000 39.8545 -0.0000 14 0.5000 0.9000 1.1601 -0.0000 15 0.7000 0.1000 -8.4011 -8.5418 16 0.7000 0.3000 -38.3621 -47.9552 17 0.7000 0.5000 15.2015 -0.0000 18 0.7000 0.7000 65.8221 71.0789 19 0.7000 0.9000 15.5203 15.5203 20 0.9000 0.1000 -5.5072 -1.8651 21 0.9000 0.3000 -11.3124 -10.4712 22 0.9000 0.5000 -0.4242 -0.0000 23 0.9000 0.7000 14.3110 15.5203 24 0.9000 0.9000 4.6781 3.3889 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 10 RMS error is 0.294461 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.0972 0.0857 1 0.1000 0.3000 0.1262 0.1643 2 0.1000 0.5000 0.0718 0.0243 3 0.1000 0.7000 0.1675 0.1643 4 0.1000 0.9000 0.0279 0.0857 5 0.3000 0.1000 0.1405 0.1926 6 0.3000 0.3000 -0.2736 -0.3401 7 0.3000 0.5000 -0.2637 -0.3888 8 0.3000 0.7000 -0.0383 -0.3401 9 0.3000 0.9000 0.0614 0.1926 10 0.5000 0.1000 -0.0103 0.1504 11 0.5000 0.3000 -0.3775 -0.4401 12 0.5000 0.5000 -0.3918 1.0000 13 0.5000 0.7000 -0.2250 -0.4401 14 0.5000 0.9000 0.1317 0.1504 15 0.7000 0.1000 0.1520 0.1926 16 0.7000 0.3000 -0.2929 -0.3401 17 0.7000 0.5000 -0.3715 -0.3888 18 0.7000 0.7000 -0.3087 -0.3401 19 0.7000 0.9000 0.1926 0.1926 20 0.9000 0.1000 0.0479 0.0857 21 0.9000 0.3000 0.1060 0.1643 22 0.9000 0.5000 -0.0217 0.0243 23 0.9000 0.7000 0.1066 0.1643 24 0.9000 0.9000 0.0610 0.0857 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 11 RMS error is 0.00496802 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.1125 0.1100 1 0.1000 0.3000 0.1275 0.1300 2 0.1000 0.5000 0.1469 0.1500 3 0.1000 0.7000 0.1694 0.1700 4 0.1000 0.9000 0.1822 0.1900 5 0.3000 0.1000 0.3229 0.3300 6 0.3000 0.3000 0.3907 0.3900 7 0.3000 0.5000 0.4513 0.4500 8 0.3000 0.7000 0.5129 0.5100 9 0.3000 0.9000 0.5650 0.5700 10 0.5000 0.1000 0.5515 0.5500 11 0.5000 0.3000 0.6450 0.6500 12 0.5000 0.5000 0.7650 0.7500 13 0.5000 0.7000 0.8433 0.8500 14 0.5000 0.9000 0.9525 0.9500 15 0.7000 0.1000 0.7733 0.7700 16 0.7000 0.3000 0.9129 0.9100 17 0.7000 0.5000 1.0425 1.0500 18 0.7000 0.7000 1.1915 1.1900 19 0.7000 0.9000 1.3300 1.3300 20 0.9000 0.1000 0.9829 0.9900 21 0.9000 0.3000 1.1677 1.1700 22 0.9000 0.5000 1.3500 1.3500 23 0.9000 0.7000 1.5267 1.5300 24 0.9000 0.9000 1.7100 1.7100 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 12 RMS error is 0.0491764 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.4167 0.4511 1 0.1000 0.3000 0.7905 0.8997 2 0.1000 0.5000 0.7571 0.8084 3 0.1000 0.7000 0.5331 0.5179 4 0.1000 0.9000 0.6090 0.5351 5 0.3000 0.1000 0.3824 0.3660 6 0.3000 0.3000 0.7416 0.7790 7 0.3000 0.5000 0.7244 0.6979 8 0.3000 0.7000 0.6278 0.4959 9 0.3000 0.9000 0.6843 0.6435 10 0.5000 0.1000 0.1755 0.2100 11 0.5000 0.3000 0.4733 0.4633 12 0.5000 0.5000 0.5586 0.4604 13 0.5000 0.7000 0.5280 0.4830 14 0.5000 0.9000 0.8826 0.8459 15 0.7000 0.1000 0.0877 0.0990 16 0.7000 0.3000 0.2633 0.2495 17 0.7000 0.5000 0.3861 0.3691 18 0.7000 0.7000 0.6628 0.6349 19 0.7000 0.9000 1.1678 1.1678 20 0.9000 0.1000 0.0798 0.0810 21 0.9000 0.3000 0.2659 0.2618 22 0.9000 0.5000 0.5606 0.5274 23 0.9000 0.7000 0.9797 0.9556 24 0.9000 0.9000 1.5049 1.5179 TEST03 PWL_INTERP_2D_SCATTERED_VALUE evaluates a piecewise linear interpolant to scattered data. Here, we use grid number 2 with 33 scattered points in the unit square on problem 13 RMS error is 0.164364 K Xi(K) Yi(K) Zi(K) Z(X,Y) 0 0.1000 0.1000 0.0316 0.0303 1 0.1000 0.3000 0.0462 0.0476 2 0.1000 0.5000 0.0600 0.0588 3 0.1000 0.7000 0.0464 0.0476 4 0.1000 0.9000 0.0354 0.0303 5 0.3000 0.1000 0.0451 0.0476 6 0.3000 0.3000 0.1142 0.1111 7 0.3000 0.5000 0.1136 0.2000 8 0.3000 0.7000 0.0813 0.1111 9 0.3000 0.9000 0.0521 0.0476 10 0.5000 0.1000 0.0663 0.0588 11 0.5000 0.3000 0.1315 0.2000 12 0.5000 0.5000 0.1886 1.0000 13 0.5000 0.7000 0.1730 0.2000 14 0.5000 0.9000 0.0566 0.0588 15 0.7000 0.1000 0.0470 0.0476 16 0.7000 0.3000 0.1050 0.1111 17 0.7000 0.5000 0.1459 0.2000 18 0.7000 0.7000 0.1206 0.1111 19 0.7000 0.9000 0.0476 0.0476 20 0.9000 0.1000 0.0345 0.0303 21 0.9000 0.3000 0.0489 0.0476 22 0.9000 0.5000 0.0628 0.0588 23 0.9000 0.7000 0.0481 0.0476 24 0.9000 0.9000 0.0310 0.0303 PWL_INTERP_2D_SCATTERED_TEST: Normal end of execution. 03 March 2022 09:41:32 PM