lagrange_interp_2d_test 06-Feb-2019 21:36:35 lagrange_interp_2d_test: MATLAB version Test lagrange_interp_2d. The R8LIB library is needed. This test also needs the TEST_INTERP_2D library. LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.766421 2: 0 1 0.270337 3: 1 0 0.107558 4: 1 1 0.0358696 X, Y, Z interpolation: 1: 0 0 0.766421 2: 0 1 0.270337 3: 1 0 0.107558 4: 1 1 0.0358696 RMS data interpolation error = 0 RMS data approximation error = 0.0307159 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.766421 2: 0 0.5 0.481806 3: 0 1 0.270337 4: 0.5 0 0.434914 5: 0.5 0.5 0.325762 6: 0.5 1 0.145979 7: 1 0 0.107558 8: 1 0.5 0.161026 9: 1 1 0.0358696 X, Y, Z interpolation: 1: 0 0 0.766421 2: 0 0.5 0.481806 3: 0 1 0.270337 4: 0.5 0 0.434914 5: 0.5 0.5 0.325762 6: 0.5 1 0.145979 7: 1 0 0.107558 8: 1 0.5 0.161026 9: 1 1 0.0358696 RMS data interpolation error = 0 RMS data approximation error = 0.184386 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.766421 2: 0 0.25 0.802583 3: 0 0.75 0.339527 4: 0 1 0.270337 5: 0.25 0 0.818854 6: 0.25 0.25 1.16528 7: 0.25 0.75 0.272413 8: 0.25 1 0.22224 9: 0.75 0 0.252062 10: 0.75 0.25 0.589359 11: 0.75 0.75 0.11597 12: 0.75 1 0.0810474 13: 1 0 0.107558 14: 1 0.25 0.230218 15: 1 0.75 0.0503603 16: 1 1 0.0358696 X, Y, Z interpolation: 1: 0 0 0.766421 2: 0 0.25 0.802583 3: 0 0.75 0.339527 4: 0 1 0.270337 5: 0.25 0 0.818854 6: 0.25 0.25 1.16528 7: 0.25 0.75 0.272413 8: 0.25 1 0.22224 9: 0.75 0 0.252062 10: 0.75 0.25 0.589359 11: 0.75 0.75 0.11597 12: 0.75 1 0.0810474 13: 1 0 0.107558 14: 1 0.25 0.230218 15: 1 0.75 0.0503603 16: 1 1 0.0358696 RMS data interpolation error = 0 RMS data approximation error = 0.065489 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.0201751 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.00171259 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.111111 2: 0 1 0.222222 3: 1 0 3.38444e-09 4: 1 1 0.111111 X, Y, Z interpolation: 1: 0 0 0.111111 2: 0 1 0.222222 3: 1 0 3.38444e-09 4: 1 1 0.111111 RMS data interpolation error = 0 RMS data approximation error = 0 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.111111 2: 0 0.5 0.222195 3: 0 1 0.222222 4: 0.5 0 2.7421e-05 5: 0.5 0.5 0.111111 6: 0.5 1 0.222195 7: 1 0 3.38444e-09 8: 1 0.5 2.7421e-05 9: 1 1 0.111111 X, Y, Z interpolation: 1: 0 0 0.111111 2: 0 0.5 0.222195 3: 0 1 0.222222 4: 0.5 0 2.7421e-05 5: 0.5 0.5 0.111111 6: 0.5 1 0.222195 7: 1 0 3.38444e-09 8: 1 0.5 2.7421e-05 9: 1 1 0.111111 RMS data interpolation error = 0 RMS data approximation error = 0.00490804 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.111111 2: 0 0.25 0.219781 3: 0 0.75 0.222222 4: 0 1 0.222222 5: 0.25 0 0.00244154 6: 0.25 0.25 0.111111 7: 0.25 0.75 0.222195 8: 0.25 1 0.222222 9: 0.75 0 3.04657e-07 10: 0.75 0.25 2.7421e-05 11: 0.75 0.75 0.111111 12: 0.75 1 0.219781 13: 1 0 3.38444e-09 14: 1 0.25 3.04657e-07 15: 1 0.75 0.00244154 16: 1 1 0.111111 X, Y, Z interpolation: 1: 0 0 0.111111 2: 0 0.25 0.219781 3: 0 0.75 0.222222 4: 0 1 0.222222 5: 0.25 0 0.00244154 6: 0.25 0.25 0.111111 7: 0.25 0.75 0.222195 8: 0.25 1 0.222222 9: 0.75 0 3.04657e-07 10: 0.75 0.25 2.7421e-05 11: 0.75 0.75 0.111111 12: 0.75 1 0.219781 13: 1 0 3.38444e-09 14: 1 0.25 3.04657e-07 15: 1 0.75 0.00244154 16: 1 1 0.111111 RMS data interpolation error = 0 RMS data approximation error = 0.00143279 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.000930276 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.000109215 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.1875 2: 0 1 0.157058 3: 1 0 0.075 4: 1 1 0.0628231 X, Y, Z interpolation: 1: 0 0 0.1875 2: 0 1 0.157058 3: 1 0 0.075 4: 1 1 0.0628231 RMS data interpolation error = 0 RMS data approximation error = 0.0744715 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.1875 2: 0 0.5 0.0288273 3: 0 1 0.157058 4: 0.5 0 0.3 5: 0.5 0.5 0.0461237 6: 0.5 1 0.251292 7: 1 0 0.075 8: 1 0.5 0.0115309 9: 1 1 0.0628231 X, Y, Z interpolation: 1: 0 0 0.1875 2: 0 0.5 0.0288273 3: 0 1 0.157058 4: 0.5 0 0.3 5: 0.5 0.5 0.0461237 6: 0.5 1 0.251292 7: 1 0 0.075 8: 1 0.5 0.0115309 9: 1 1 0.0628231 RMS data interpolation error = 0 RMS data approximation error = 0.031092 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.1875 2: 0 0.25 0.122417 3: 0 0.75 0.0529165 4: 0 1 0.157058 5: 0.25 0 0.352941 6: 0.25 0.25 0.230432 7: 0.25 0.75 0.0996075 8: 0.25 1 0.295638 9: 0.75 0 0.146341 10: 0.75 0.25 0.0955452 11: 0.75 0.75 0.0413007 12: 0.75 1 0.122582 13: 1 0 0.075 14: 1 0.25 0.0489669 15: 1 0.75 0.0211666 16: 1 1 0.0628231 X, Y, Z interpolation: 1: 0 0 0.1875 2: 0 0.25 0.122417 3: 0 0.75 0.0529165 4: 0 1 0.157058 5: 0.25 0 0.352941 6: 0.25 0.25 0.230432 7: 0.25 0.75 0.0996075 8: 0.25 1 0.295638 9: 0.75 0 0.146341 10: 0.75 0.25 0.0955452 11: 0.75 0.75 0.0413007 12: 0.75 1 0.122582 13: 1 0 0.075 14: 1 0.25 0.0489669 15: 1 0.75 0.0211666 16: 1 1 0.0628231 RMS data interpolation error = 0 RMS data approximation error = 0.00994526 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.00418505 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.000105732 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.0265198 2: 0 1 0.0265198 3: 1 0 0.0265198 4: 1 1 0.0265198 X, Y, Z interpolation: 1: 0 0 0.0265198 2: 0 1 0.0265198 3: 1 0 0.0265198 4: 1 1 0.0265198 RMS data interpolation error = 0 RMS data approximation error = 0.306813 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.0265198 2: 0 0.5 0.094021 3: 0 1 0.0265198 4: 0.5 0 0.094021 5: 0.5 0.5 0.333333 6: 0.5 1 0.094021 7: 1 0 0.0265198 8: 1 0.5 0.094021 9: 1 1 0.0265198 X, Y, Z interpolation: 1: 0 0 0.0265198 2: 0 0.5 0.094021 3: 0 1 0.0265198 4: 0.5 0 0.094021 5: 0.5 0.5 0.333333 6: 0.5 1 0.094021 7: 1 0 0.0265198 8: 1 0.5 0.094021 9: 1 1 0.0265198 RMS data interpolation error = 0 RMS data approximation error = 0.0236917 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.0265198 2: 0 0.25 0.068519 3: 0 0.75 0.068519 4: 0 1 0.0265198 5: 0.25 0 0.068519 6: 0.25 0.25 0.177032 7: 0.25 0.75 0.177032 8: 0.25 1 0.068519 9: 0.75 0 0.068519 10: 0.75 0.25 0.177032 11: 0.75 0.75 0.177032 12: 0.75 1 0.068519 13: 1 0 0.0265198 14: 1 0.25 0.068519 15: 1 0.75 0.068519 16: 1 1 0.0265198 X, Y, Z interpolation: 1: 0 0 0.0265198 2: 0 0.25 0.068519 3: 0 0.75 0.068519 4: 0 1 0.0265198 5: 0.25 0 0.068519 6: 0.25 0.25 0.177032 7: 0.25 0.75 0.177032 8: 0.25 1 0.068519 9: 0.75 0 0.068519 10: 0.75 0.25 0.177032 11: 0.75 0.75 0.177032 12: 0.75 1 0.068519 13: 1 0 0.0265198 14: 1 0.25 0.068519 15: 1 0.75 0.068519 16: 1 1 0.0265198 RMS data interpolation error = 0 RMS data approximation error = 0.00945138 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.000685056 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 1.53585e-06 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 1.33551e-05 2: 0 1 1.33551e-05 3: 1 0 1.33551e-05 4: 1 1 1.33551e-05 X, Y, Z interpolation: 1: 0 0 1.33551e-05 2: 0 1 1.33551e-05 3: 1 0 1.33551e-05 4: 1 1 1.33551e-05 RMS data interpolation error = 0 RMS data approximation error = 0.33332 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 1.33551e-05 2: 0 0.5 0.00210991 3: 0 1 1.33551e-05 4: 0.5 0 0.00210991 5: 0.5 0.5 0.333333 6: 0.5 1 0.00210991 7: 1 0 1.33551e-05 8: 1 0.5 0.00210991 9: 1 1 1.33551e-05 X, Y, Z interpolation: 1: 0 0 1.33551e-05 2: 0 0.5 0.00210991 3: 0 1 1.33551e-05 4: 0.5 0 0.00210991 5: 0.5 0.5 0.333333 6: 0.5 1 0.00210991 7: 1 0 1.33551e-05 8: 1 0.5 0.00210991 9: 1 1 1.33551e-05 RMS data interpolation error = 0 RMS data approximation error = 0.0808861 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 1.33551e-05 2: 0 0.25 0.000595126 3: 0 0.75 0.000595126 4: 0 1 1.33551e-05 5: 0.25 0 0.000595126 6: 0.25 0.25 0.0265198 7: 0.25 0.75 0.0265198 8: 0.25 1 0.000595126 9: 0.75 0 0.000595126 10: 0.75 0.25 0.0265198 11: 0.75 0.75 0.0265198 12: 0.75 1 0.000595126 13: 1 0 1.33551e-05 14: 1 0.25 0.000595126 15: 1 0.75 0.000595126 16: 1 1 1.33551e-05 X, Y, Z interpolation: 1: 0 0 1.33551e-05 2: 0 0.25 0.000595126 3: 0 0.75 0.000595126 4: 0 1 1.33551e-05 5: 0.25 0 0.000595126 6: 0.25 0.25 0.0265198 7: 0.25 0.75 0.0265198 8: 0.25 1 0.000595126 9: 0.75 0 0.000595126 10: 0.75 0.25 0.0265198 11: 0.75 0.75 0.0265198 12: 0.75 1 0.000595126 13: 1 0 1.33551e-05 14: 1 0.25 0.000595126 15: 1 0.75 0.000595126 16: 1 1 1.33551e-05 RMS data interpolation error = 0 RMS data approximation error = 0.0319109 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.00871518 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.000210653 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.0386311 2: 0 1 0.0386311 3: 1 0 0.0386311 4: 1 1 0.0386311 X, Y, Z interpolation: 1: 0 0 0.0386311 2: 0 1 0.0386311 3: 1 0 0.0386311 4: 1 1 0.0386311 RMS data interpolation error = 0 RMS data approximation error = 0.350258 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.0386311 2: 0 0.5 0.234931 3: 0 1 0.0386311 4: 0.5 0 0.234931 5: 0.5 0.5 0.388889 6: 0.5 1 0.234931 7: 1 0 0.0386311 8: 1 0.5 0.234931 9: 1 1 0.0386311 X, Y, Z interpolation: 1: 0 0 0.0386311 2: 0 0.5 0.234931 3: 0 1 0.0386311 4: 0.5 0 0.234931 5: 0.5 0.5 0.388889 6: 0.5 1 0.234931 7: 1 0 0.0386311 8: 1 0.5 0.234931 9: 1 1 0.0386311 RMS data interpolation error = 0 RMS data approximation error = 0.00314374 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.0386311 2: 0 0.25 0.191103 3: 0 0.75 0.191103 4: 0 1 0.0386311 5: 0.25 0 0.191103 6: 0.25 0.25 0.315551 7: 0.25 0.75 0.315551 8: 0.25 1 0.191103 9: 0.75 0 0.191103 10: 0.75 0.25 0.315551 11: 0.75 0.75 0.315551 12: 0.75 1 0.191103 13: 1 0 0.0386311 14: 1 0.25 0.191103 15: 1 0.75 0.191103 16: 1 1 0.0386311 X, Y, Z interpolation: 1: 0 0 0.0386311 2: 0 0.25 0.191103 3: 0 0.75 0.191103 4: 0 1 0.0386311 5: 0.25 0 0.191103 6: 0.25 0.25 0.315551 7: 0.25 0.75 0.315551 8: 0.25 1 0.191103 9: 0.75 0 0.191103 10: 0.75 0.25 0.315551 11: 0.75 0.75 0.315551 12: 0.75 1 0.191103 13: 1 0 0.0386311 14: 1 0.25 0.191103 15: 1 0.75 0.191103 16: 1 1 0.0386311 RMS data interpolation error = 0 RMS data approximation error = 0.00173866 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 8.36377e-05 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 3.56374e-07 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0 2: 0 1 -1.08804 3: 1 0 0 4: 1 1 0.368924 X, Y, Z interpolation: 1: 0 0 0 2: 0 1 -1.08804 3: 1 0 0 4: 1 1 0.368924 RMS data interpolation error = 0 RMS data approximation error = 0.234231 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0 2: 0 0.5 -1.91785 3: 0 1 -1.08804 4: 0.5 0 0 5: 0.5 0.5 0.054451 6: 0.5 1 -1.26756 7: 1 0 0 8: 1 0.5 0.650288 9: 1 1 0.368924 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.5 -1.91785 3: 0 1 -1.08804 4: 0.5 0 0 5: 0.5 0.5 0.054451 6: 0.5 1 -1.26756 7: 1 0 0 8: 1 0.5 0.650288 9: 1 1 0.368924 RMS data interpolation error = 0 RMS data approximation error = 0.26276 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0 2: 0 0.25 1.19694 3: 0 0.75 1.876 4: 0 1 -1.08804 5: 0.25 0 0 6: 0.25 0.25 -0.373827 7: 0.25 0.75 -0.54886 8: 0.25 1 1.47015 9: 0.75 0 0 10: 0.75 0.25 1.36899 11: 0.75 0.75 0.0386056 12: 0.75 1 0.560846 13: 1 0 0 14: 1 0.25 -0.40585 15: 1 0.75 -0.636098 16: 1 1 0.368924 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.25 1.19694 3: 0 0.75 1.876 4: 0 1 -1.08804 5: 0.25 0 0 6: 0.25 0.25 -0.373827 7: 0.25 0.75 -0.54886 8: 0.25 1 1.47015 9: 0.75 0 0 10: 0.75 0.25 1.36899 11: 0.75 0.75 0.0386056 12: 0.75 1 0.560846 13: 1 0 0 14: 1 0.25 -0.40585 15: 1 0.75 -0.636098 16: 1 1 0.368924 RMS data interpolation error = 0 RMS data approximation error = 0.22209 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.15835 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.00256233 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 6.52165e-06 2: 0 1 6.52165e-06 3: 1 0 6.52165e-06 4: 1 1 6.52165e-06 X, Y, Z interpolation: 1: 0 0 6.52165e-06 2: 0 1 6.52165e-06 3: 1 0 6.52165e-06 4: 1 1 6.52165e-06 RMS data interpolation error = 0 RMS data approximation error = 2.49999 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 6.52165e-06 2: 0 0.5 0.750007 3: 0 1 6.52165e-06 4: 0.5 0 1.00001 5: 0.5 0.5 2.5 6: 0.5 1 1.00001 7: 1 0 6.52165e-06 8: 1 0.5 0.750007 9: 1 1 6.52165e-06 X, Y, Z interpolation: 1: 0 0 6.52165e-06 2: 0 0.5 0.750007 3: 0 1 6.52165e-06 4: 0.5 0 1.00001 5: 0.5 0.5 2.5 6: 0.5 1 1.00001 7: 1 0 6.52165e-06 8: 1 0.5 0.750007 9: 1 1 6.52165e-06 RMS data interpolation error = 0 RMS data approximation error = 0.82802 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 6.52165e-06 2: 0 0.25 0.0329565 3: 0 0.75 0.0329565 4: 0 1 6.52165e-06 5: 0.25 0 0.0439399 6: 0.25 0.25 0.0783375 7: 0.25 0.75 0.0783375 8: 0.25 1 0.0439399 9: 0.75 0 0.0439399 10: 0.75 0.25 0.0783375 11: 0.75 0.75 0.0783375 12: 0.75 1 0.0439399 13: 1 0 6.52165e-06 14: 1 0.25 0.0329565 15: 1 0.75 0.0329565 16: 1 1 6.52165e-06 X, Y, Z interpolation: 1: 0 0 6.52165e-06 2: 0 0.25 0.0329565 3: 0 0.75 0.0329565 4: 0 1 6.52165e-06 5: 0.25 0 0.0439399 6: 0.25 0.25 0.0783375 7: 0.25 0.75 0.0783375 8: 0.25 1 0.0439399 9: 0.75 0 0.0439399 10: 0.75 0.25 0.0783375 11: 0.75 0.75 0.0783375 12: 0.75 1 0.0439399 13: 1 0 6.52165e-06 14: 1 0.25 0.0329565 15: 1 0.75 0.0329565 16: 1 1 6.52165e-06 RMS data interpolation error = 0 RMS data approximation error = 0.321494 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.142802 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.0123551 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.0996532 2: 0 1 -0.189352 3: 1 0 -0.189352 4: 1 1 0.359788 X, Y, Z interpolation: 1: 0 0 0.0996532 2: 0 1 -0.189352 3: 1 0 -0.189352 4: 1 1 0.359788 RMS data interpolation error = 0 RMS data approximation error = 0.0201845 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.0996532 2: 0 0.5 0 3: 0 1 -0.189352 4: 0.5 0 0 5: 0.5 0.5 0 6: 0.5 1 -0 7: 1 0 -0.189352 8: 1 0.5 -0 9: 1 1 0.359788 X, Y, Z interpolation: 1: 0 0 0.0996532 2: 0 0.5 0 3: 0 1 -0.189352 4: 0.5 0 0 5: 0.5 0.5 0 6: 0.5 1 0 7: 1 0 -0.189352 8: 1 0.5 0 9: 1 1 0.359788 RMS data interpolation error = 0 RMS data approximation error = 15.391 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.0996532 2: 0 0.25 1.32058 3: 0 0.75 -2.09804 4: 0 1 -0.189352 5: 0.25 0 1.32058 6: 0.25 0.25 17.4999 7: 0.25 0.75 -27.8026 8: 0.25 1 -2.50923 9: 0.75 0 -2.09804 10: 0.75 0.25 -27.8026 11: 0.75 0.75 44.1709 12: 0.75 1 3.9865 13: 1 0 -0.189352 14: 1 0.25 -2.50923 15: 1 0.75 3.9865 16: 1 1 0.359788 X, Y, Z interpolation: 1: 0 0 0.0996532 2: 0 0.25 1.32058 3: 0 0.75 -2.09804 4: 0 1 -0.189352 5: 0.25 0 1.32058 6: 0.25 0.25 17.4999 7: 0.25 0.75 -27.8026 8: 0.25 1 -2.50923 9: 0.75 0 -2.09804 10: 0.75 0.25 -27.8026 11: 0.75 0.75 44.1709 12: 0.75 1 3.9865 13: 1 0 -0.189352 14: 1 0.25 -2.50923 15: 1 0.75 3.9865 16: 1 1 0.359788 RMS data interpolation error = 0 RMS data approximation error = 4.94687 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 7.09178 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.682591 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 -0.0830877 2: 0 1 -0.0830877 3: 1 0 -0.0830877 4: 1 1 -0.0830877 X, Y, Z interpolation: 1: 0 0 -0.0830877 2: 0 1 -0.0830877 3: 1 0 -0.0830877 4: 1 1 -0.0830877 RMS data interpolation error = 0 RMS data approximation error = 1.08309 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 -0.0830877 2: 0 0.5 0.193855 3: 0 1 -0.0830877 4: 0.5 0 0.147613 5: 0.5 0.5 1 6: 0.5 1 0.147613 7: 1 0 -0.0830877 8: 1 0.5 0.193855 9: 1 1 -0.0830877 X, Y, Z interpolation: 1: 0 0 -0.0830877 2: 0 0.5 0.193855 3: 0 1 -0.0830877 4: 0.5 0 0.147613 5: 0.5 0.5 1 6: 0.5 1 0.147613 7: 1 0 -0.0830877 8: 1 0.5 0.193855 9: 1 1 -0.0830877 RMS data interpolation error = 0 RMS data approximation error = 0.339989 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 -0.0830877 2: 0 0.25 0.131554 3: 0 0.75 0.131554 4: 0 1 -0.0830877 5: 0.25 0 0.0628413 6: 0.25 0.25 -0.058646 7: 0.25 0.75 -0.058646 8: 0.25 1 0.0628413 9: 0.75 0 0.0628413 10: 0.75 0.25 -0.058646 11: 0.75 0.75 -0.058646 12: 0.75 1 0.0628413 13: 1 0 -0.0830877 14: 1 0.25 0.131554 15: 1 0.75 0.131554 16: 1 1 -0.0830877 X, Y, Z interpolation: 1: 0 0 -0.0830877 2: 0 0.25 0.131554 3: 0 0.75 0.131554 4: 0 1 -0.0830877 5: 0.25 0 0.0628413 6: 0.25 0.25 -0.058646 7: 0.25 0.75 -0.058646 8: 0.25 1 0.0628413 9: 0.75 0 0.0628413 10: 0.75 0.25 -0.058646 11: 0.75 0.75 -0.058646 12: 0.75 1 0.0628413 13: 1 0 -0.0830877 14: 1 0.25 0.131554 15: 1 0.75 0.131554 16: 1 1 -0.0830877 RMS data interpolation error = 0 RMS data approximation error = 0.138405 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.110323 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.00999769 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0 2: 0 1 0 3: 1 0 1 4: 1 1 2 X, Y, Z interpolation: 1: 0 0 0 2: 0 1 0 3: 1 0 1 4: 1 1 2 RMS data interpolation error = 0 RMS data approximation error = 0 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0 2: 0 0.5 0 3: 0 1 0 4: 0.5 0 0.5 5: 0.5 0.5 0.75 6: 0.5 1 1 7: 1 0 1 8: 1 0.5 1.5 9: 1 1 2 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.5 0 3: 0 1 0 4: 0.5 0 0.5 5: 0.5 0.5 0.75 6: 0.5 1 1 7: 1 0 1 8: 1 0.5 1.5 9: 1 1 2 RMS data interpolation error = 0 RMS data approximation error = 0 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0 2: 0 0.25 0 3: 0 0.75 0 4: 0 1 0 5: 0.25 0 0.25 6: 0.25 0.25 0.3125 7: 0.25 0.75 0.4375 8: 0.25 1 0.5 9: 0.75 0 0.75 10: 0.75 0.25 0.9375 11: 0.75 0.75 1.3125 12: 0.75 1 1.5 13: 1 0 1 14: 1 0.25 1.25 15: 1 0.75 1.75 16: 1 1 2 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.25 0 3: 0 0.75 0 4: 0 1 0 5: 0.25 0 0.25 6: 0.25 0.25 0.3125 7: 0.25 0.75 0.4375 8: 0.25 1 0.5 9: 0.75 0 0.75 10: 0.75 0.25 0.9375 11: 0.75 0.75 1.3125 12: 0.75 1 1.5 13: 1 0 1 14: 1 0.25 1.25 15: 1 0.75 1.75 16: 1 1 2 RMS data interpolation error = 0 RMS data approximation error = 4.53247e-17 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 4.19394e-17 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 4.70758e-17 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0 2: 0 1 0.688241 3: 1 0 0 4: 1 1 1.87271 X, Y, Z interpolation: 1: 0 0 0 2: 0 1 0.688241 3: 1 0 0 4: 1 1 1.87271 RMS data interpolation error = 0 RMS data approximation error = 0.179861 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0 2: 0 0.5 0.748896 3: 0 1 0.688241 4: 0.5 0 0 5: 0.5 0.5 0.460375 6: 0.5 1 1.16513 7: 1 0 0 8: 1 0.5 0.666271 9: 1 1 1.87271 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.5 0.748896 3: 0 1 0.688241 4: 0.5 0 0 5: 0.5 0.5 0.460375 6: 0.5 1 1.16513 7: 1 0 0 8: 1 0.5 0.666271 9: 1 1 1.87271 RMS data interpolation error = 0 RMS data approximation error = 0.141766 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0 2: 0 0.25 0.721902 3: 0 0.75 0.44832 4: 0 1 0.688241 5: 0.25 0 0 6: 0.25 0.25 0.787472 7: 0.25 0.75 0.486641 8: 0.25 1 0.854796 9: 0.75 0 0 10: 0.75 0.25 0.197944 11: 0.75 0.75 0.82212 12: 0.75 1 1.58342 13: 1 0 0 14: 1 0.25 0.270804 15: 1 0.75 1.25848 16: 1 1 1.87271 X, Y, Z interpolation: 1: 0 0 0 2: 0 0.25 0.721902 3: 0 0.75 0.44832 4: 0 1 0.688241 5: 0.25 0 0 6: 0.25 0.25 0.787472 7: 0.25 0.75 0.486641 8: 0.25 1 0.854796 9: 0.75 0 0 10: 0.75 0.25 0.197944 11: 0.75 0.75 0.82212 12: 0.75 1 1.58342 13: 1 0 0 14: 1 0.25 0.270804 15: 1 0.75 1.25848 16: 1 1 1.87271 RMS data interpolation error = 0 RMS data approximation error = 0.0161854 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.00619069 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.00015455 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 1x1 Number of data points = 4 X, Y, Z data: 1: 0 0 0.0196078 2: 0 1 0.0196078 3: 1 0 0.0196078 4: 1 1 0.0196078 X, Y, Z interpolation: 1: 0 0 0.0196078 2: 0 1 0.0196078 3: 1 0 0.0196078 4: 1 1 0.0196078 RMS data interpolation error = 0 RMS data approximation error = 0.980392 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 2x2 Number of data points = 9 X, Y, Z data: 1: 0 0 0.0196078 2: 0 0.5 0.0384615 3: 0 1 0.0196078 4: 0.5 0 0.0384615 5: 0.5 0.5 1 6: 0.5 1 0.0384615 7: 1 0 0.0196078 8: 1 0.5 0.0384615 9: 1 1 0.0196078 X, Y, Z interpolation: 1: 0 0 0.0196078 2: 0 0.5 0.0384615 3: 0 1 0.0196078 4: 0.5 0 0.0384615 5: 0.5 0.5 1 6: 0.5 1 0.0384615 7: 1 0 0.0196078 8: 1 0.5 0.0384615 9: 1 1 0.0196078 RMS data interpolation error = 0 RMS data approximation error = 0.252037 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 3x3 Number of data points = 16 X, Y, Z data: 1: 0 0 0.0196078 2: 0 0.25 0.0310078 3: 0 0.75 0.0310078 4: 0 1 0.0196078 5: 0.25 0 0.0310078 6: 0.25 0.25 0.0740741 7: 0.25 0.75 0.0740741 8: 0.25 1 0.0310078 9: 0.75 0 0.0310078 10: 0.75 0.25 0.0740741 11: 0.75 0.75 0.0740741 12: 0.75 1 0.0310078 13: 1 0 0.0196078 14: 1 0.25 0.0310078 15: 1 0.75 0.0310078 16: 1 1 0.0196078 X, Y, Z interpolation: 1: 0 0 0.0196078 2: 0 0.25 0.0310078 3: 0 0.75 0.0310078 4: 0 1 0.0196078 5: 0.25 0 0.0310078 6: 0.25 0.25 0.0740741 7: 0.25 0.75 0.0740741 8: 0.25 1 0.0310078 9: 0.75 0 0.0310078 10: 0.75 0.25 0.0740741 11: 0.75 0.75 0.0740741 12: 0.75 1 0.0310078 13: 1 0 0.0196078 14: 1 0.25 0.0310078 15: 1 0.75 0.0310078 16: 1 1 0.0196078 RMS data interpolation error = 0 RMS data approximation error = 0.0993214 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 4x4 Number of data points = 25 RMS data interpolation error = 0 RMS data approximation error = 0.0437172 LAGRANGE_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 8x8 Number of data points = 81 RMS data interpolation error = 0 RMS data approximation error = 0.00690114 LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p01_data.png". Created plot file "p01_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p01_data.png". Created plot file "p01_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p01_data.png". Created plot file "p01_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p01_data.png". Created plot file "p01_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #1. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p01_data.png". Created plot file "p01_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p02_data.png". Created plot file "p02_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p02_data.png". Created plot file "p02_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p02_data.png". Created plot file "p02_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p02_data.png". Created plot file "p02_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #2. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p02_data.png". Created plot file "p02_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p03_data.png". Created plot file "p03_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p03_data.png". Created plot file "p03_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p03_data.png". Created plot file "p03_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p03_data.png". Created plot file "p03_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #3. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p03_data.png". Created plot file "p03_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p04_data.png". Created plot file "p04_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p04_data.png". Created plot file "p04_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p04_data.png". Created plot file "p04_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p04_data.png". Created plot file "p04_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #4. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p04_data.png". Created plot file "p04_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p05_data.png". Created plot file "p05_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p05_data.png". Created plot file "p05_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p05_data.png". Created plot file "p05_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p05_data.png". Created plot file "p05_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #5. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p05_data.png". Created plot file "p05_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p06_data.png". Created plot file "p06_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p06_data.png". Created plot file "p06_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p06_data.png". Created plot file "p06_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p06_data.png". Created plot file "p06_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #6. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p06_data.png". Created plot file "p06_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p07_data.png". Created plot file "p07_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p07_data.png". Created plot file "p07_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p07_data.png". Created plot file "p07_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p07_data.png". Created plot file "p07_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #7. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p07_data.png". Created plot file "p07_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p08_data.png". Created plot file "p08_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p08_data.png". Created plot file "p08_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p08_data.png". Created plot file "p08_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p08_data.png". Created plot file "p08_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #8. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p08_data.png". Created plot file "p08_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p09_data.png". Created plot file "p09_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p09_data.png". Created plot file "p09_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p09_data.png". Created plot file "p09_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p09_data.png". Created plot file "p09_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #9. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p09_data.png". Created plot file "p09_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p10_data.png". Created plot file "p10_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p10_data.png". Created plot file "p10_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p10_data.png". Created plot file "p10_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p10_data.png". Created plot file "p10_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #10. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p10_data.png". Created plot file "p10_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p11_data.png". Created plot file "p11_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p11_data.png". Created plot file "p11_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p11_data.png". Created plot file "p11_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p11_data.png". Created plot file "p11_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #11. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p11_data.png". Created plot file "p11_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p12_data.png". Created plot file "p12_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p12_data.png". Created plot file "p12_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p12_data.png". Created plot file "p12_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p12_data.png". Created plot file "p12_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #12. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p12_data.png". Created plot file "p12_poly08.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 1x1 Plot the results. Number of data points = 4 Created plot file "p13_data.png". Created plot file "p13_poly01.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 2x2 Plot the results. Number of data points = 9 Created plot file "p13_data.png". Created plot file "p13_poly02.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 3x3 Plot the results. Number of data points = 16 Created plot file "p13_data.png". Created plot file "p13_poly03.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 4x4 Plot the results. Number of data points = 25 Created plot file "p13_data.png". Created plot file "p13_poly04.png". LAGRANGE_INTERP_2D_TEST02: Interpolate data from TEST_INTERP_2D problem #13. Using polynomial interpolant of product degree 8x8 Plot the results. Number of data points = 81 Created plot file "p13_data.png". Created plot file "p13_poly08.png". lagrange_interp_2d_test: Normal end of execution. 06-Feb-2019 21:37:18 diary off