14 September 2021 7:36:19.681 PM PWL_INTERP_2D_TEST: FORTRAN90 version Test the PWL_INTERP_2D library. The R8LIB library is needed. The test needs the TEST_INTERP_2D library. PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 1 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.766421 2 1.00000 0.00000 0.107558 3 0.00000 1.00000 0.270337 4 1.00000 1.00000 0.358696E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.766421 2 1.00000 0.00000 0.107558 3 0.00000 1.00000 0.270337 4 1.00000 1.00000 0.358696E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.136815 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 1 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.766421 2 0.500000 0.00000 0.434914 3 1.00000 0.00000 0.107558 4 0.00000 0.500000 0.481806 5 0.500000 0.500000 0.325762 6 1.00000 0.500000 0.161026 7 0.00000 1.00000 0.270337 8 0.500000 1.00000 0.145979 9 1.00000 1.00000 0.358696E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.766421 2 0.500000 0.00000 0.434914 3 1.00000 0.00000 0.107558 4 0.00000 0.500000 0.481806 5 0.500000 0.500000 0.325762 6 1.00000 0.500000 0.161026 7 0.00000 1.00000 0.270337 8 0.500000 1.00000 0.145979 9 1.00000 1.00000 0.358696E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.200111 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 1 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.766421 2 0.333333 0.00000 0.705421 3 0.666667 0.00000 0.295749 4 1.00000 0.00000 0.107558 5 0.00000 0.333333 0.707465 6 0.333333 0.333333 0.826744 7 0.666667 0.333333 0.585046 8 1.00000 0.333333 0.249260 9 0.00000 0.666667 0.369969 10 0.333333 0.666667 0.253282 11 0.666667 0.666667 0.176959 12 1.00000 0.666667 0.677754E-01 13 0.00000 1.00000 0.270337 14 0.333333 1.00000 0.197704 15 0.666667 1.00000 0.101482 16 1.00000 1.00000 0.358696E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.766421 2 0.333333 0.00000 0.705421 3 0.666667 0.00000 0.295749 4 1.00000 0.00000 0.107558 5 0.00000 0.333333 0.707465 6 0.333333 0.333333 0.826744 7 0.666667 0.333333 0.585046 8 1.00000 0.333333 0.249260 9 0.00000 0.666667 0.369969 10 0.333333 0.666667 0.253282 11 0.666667 0.666667 0.176959 12 1.00000 0.666667 0.677754E-01 13 0.00000 1.00000 0.270337 14 0.333333 1.00000 0.197704 15 0.666667 1.00000 0.101482 16 1.00000 1.00000 0.358696E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.589109E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 1 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.216356E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 1 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.398124E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 2 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.111111 2 1.00000 0.00000 0.338444E-08 3 0.00000 1.00000 0.222222 4 1.00000 1.00000 0.111111 X, Y, Z interpolation: 1 0.00000 0.00000 0.111111 2 1.00000 0.00000 0.338444E-08 3 0.00000 1.00000 0.222222 4 1.00000 1.00000 0.111111 RMS data interpolation error = 0.00000 RMS data approximation error = 0.138778E-16 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 2 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.111111 2 0.500000 0.00000 0.274210E-04 3 1.00000 0.00000 0.338444E-08 4 0.00000 0.500000 0.222195 5 0.500000 0.500000 0.111111 6 1.00000 0.500000 0.274210E-04 7 0.00000 1.00000 0.222222 8 0.500000 1.00000 0.222195 9 1.00000 1.00000 0.111111 X, Y, Z interpolation: 1 0.00000 0.00000 0.111111 2 0.500000 0.00000 0.274210E-04 3 1.00000 0.00000 0.338444E-08 4 0.00000 0.500000 0.222195 5 0.500000 0.500000 0.111111 6 1.00000 0.500000 0.274210E-04 7 0.00000 1.00000 0.222222 8 0.500000 1.00000 0.222195 9 1.00000 1.00000 0.111111 RMS data interpolation error = 0.00000 RMS data approximation error = 0.196322E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 2 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.111111 2 0.333333 0.00000 0.549472E-03 3 0.666667 0.00000 0.136537E-05 4 1.00000 0.00000 0.338444E-08 5 0.00000 0.333333 0.221673 6 0.333333 0.333333 0.111111 7 0.666667 0.333333 0.549472E-03 8 1.00000 0.333333 0.136537E-05 9 0.00000 0.666667 0.222221 10 0.333333 0.666667 0.221673 11 0.666667 0.666667 0.111111 12 1.00000 0.666667 0.549472E-03 13 0.00000 1.00000 0.222222 14 0.333333 1.00000 0.222221 15 0.666667 1.00000 0.221673 16 1.00000 1.00000 0.111111 X, Y, Z interpolation: 1 0.00000 0.00000 0.111111 2 0.333333 0.00000 0.549472E-03 3 0.666667 0.00000 0.136537E-05 4 1.00000 0.00000 0.338444E-08 5 0.00000 0.333333 0.221673 6 0.333333 0.333333 0.111111 7 0.666667 0.333333 0.549472E-03 8 1.00000 0.333333 0.136537E-05 9 0.00000 0.666667 0.222221 10 0.333333 0.666667 0.221673 11 0.666667 0.666667 0.111111 12 1.00000 0.666667 0.549472E-03 13 0.00000 1.00000 0.222222 14 0.333333 1.00000 0.222221 15 0.666667 1.00000 0.221673 16 1.00000 1.00000 0.111111 RMS data interpolation error = 0.00000 RMS data approximation error = 0.122238E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 2 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.813486E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 2 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.212887E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 3 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.187500 2 1.00000 0.00000 0.750000E-01 3 0.00000 1.00000 0.157058 4 1.00000 1.00000 0.628231E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.187500 2 1.00000 0.00000 0.750000E-01 3 0.00000 1.00000 0.157058 4 1.00000 1.00000 0.628231E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.699052E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 3 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.187500 2 0.500000 0.00000 0.300000 3 1.00000 0.00000 0.750000E-01 4 0.00000 0.500000 0.288273E-01 5 0.500000 0.500000 0.461237E-01 6 1.00000 0.500000 0.115309E-01 7 0.00000 1.00000 0.157058 8 0.500000 1.00000 0.251292 9 1.00000 1.00000 0.628231E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.187500 2 0.500000 0.00000 0.300000 3 1.00000 0.00000 0.750000E-01 4 0.00000 0.500000 0.288273E-01 5 0.500000 0.500000 0.461237E-01 6 1.00000 0.500000 0.115309E-01 7 0.00000 1.00000 0.157058 8 0.500000 1.00000 0.251292 9 1.00000 1.00000 0.628231E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.292684E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 3 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.187500 2 0.333333 0.00000 0.375000 3 0.666667 0.00000 0.187500 4 1.00000 0.00000 0.750000E-01 5 0.00000 0.333333 0.852332E-01 6 0.333333 0.333333 0.170466 7 0.666667 0.333333 0.852332E-01 8 1.00000 0.333333 0.340933E-01 9 0.00000 0.666667 0.294368E-01 10 0.333333 0.666667 0.588736E-01 11 0.666667 0.666667 0.294368E-01 12 1.00000 0.666667 0.117747E-01 13 0.00000 1.00000 0.157058 14 0.333333 1.00000 0.314115 15 0.666667 1.00000 0.157058 16 1.00000 1.00000 0.628231E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.187500 2 0.333333 0.00000 0.375000 3 0.666667 0.00000 0.187500 4 1.00000 0.00000 0.750000E-01 5 0.00000 0.333333 0.852332E-01 6 0.333333 0.333333 0.170466 7 0.666667 0.333333 0.852332E-01 8 1.00000 0.333333 0.340933E-01 9 0.00000 0.666667 0.294368E-01 10 0.333333 0.666667 0.588736E-01 11 0.666667 0.666667 0.294368E-01 12 1.00000 0.666667 0.117747E-01 13 0.00000 1.00000 0.157058 14 0.333333 1.00000 0.314115 15 0.666667 1.00000 0.157058 16 1.00000 1.00000 0.628231E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.123644E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 3 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.629711E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 3 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.838877E-03 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 4 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.265198E-01 2 1.00000 0.00000 0.265198E-01 3 0.00000 1.00000 0.265198E-01 4 1.00000 1.00000 0.265198E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.265198E-01 2 1.00000 0.00000 0.265198E-01 3 0.00000 1.00000 0.265198E-01 4 1.00000 1.00000 0.265198E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.306813 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 4 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.265198E-01 2 0.500000 0.00000 0.940210E-01 3 1.00000 0.00000 0.265198E-01 4 0.00000 0.500000 0.940210E-01 5 0.500000 0.500000 0.333333 6 1.00000 0.500000 0.940210E-01 7 0.00000 1.00000 0.265198E-01 8 0.500000 1.00000 0.940210E-01 9 1.00000 1.00000 0.265198E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.265198E-01 2 0.500000 0.00000 0.940210E-01 3 1.00000 0.00000 0.265198E-01 4 0.00000 0.500000 0.940210E-01 5 0.500000 0.500000 0.333333 6 1.00000 0.500000 0.940210E-01 7 0.00000 1.00000 0.265198E-01 8 0.500000 1.00000 0.940210E-01 9 1.00000 1.00000 0.265198E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.293667E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 4 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.265198E-01 2 0.333333 0.00000 0.816868E-01 3 0.666667 0.00000 0.816868E-01 4 1.00000 0.00000 0.265198E-01 5 0.00000 0.333333 0.816868E-01 6 0.333333 0.333333 0.251613 7 0.666667 0.333333 0.251613 8 1.00000 0.333333 0.816868E-01 9 0.00000 0.666667 0.816868E-01 10 0.333333 0.666667 0.251613 11 0.666667 0.666667 0.251613 12 1.00000 0.666667 0.816868E-01 13 0.00000 1.00000 0.265198E-01 14 0.333333 1.00000 0.816868E-01 15 0.666667 1.00000 0.816868E-01 16 1.00000 1.00000 0.265198E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.265198E-01 2 0.333333 0.00000 0.816868E-01 3 0.666667 0.00000 0.816868E-01 4 1.00000 0.00000 0.265198E-01 5 0.00000 0.333333 0.816868E-01 6 0.333333 0.333333 0.251613 7 0.666667 0.333333 0.251613 8 1.00000 0.333333 0.816868E-01 9 0.00000 0.666667 0.816868E-01 10 0.333333 0.666667 0.251613 11 0.666667 0.666667 0.251613 12 1.00000 0.666667 0.816868E-01 13 0.00000 1.00000 0.265198E-01 14 0.333333 1.00000 0.816868E-01 15 0.666667 1.00000 0.816868E-01 16 1.00000 1.00000 0.265198E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.122508E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 4 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.539557E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 4 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.708519E-03 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 5 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.133551E-04 2 1.00000 0.00000 0.133551E-04 3 0.00000 1.00000 0.133551E-04 4 1.00000 1.00000 0.133551E-04 X, Y, Z interpolation: 1 0.00000 0.00000 0.133551E-04 2 1.00000 0.00000 0.133551E-04 3 0.00000 1.00000 0.133551E-04 4 1.00000 1.00000 0.133551E-04 RMS data interpolation error = 0.00000 RMS data approximation error = 0.333320 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 5 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.133551E-04 2 0.500000 0.00000 0.210991E-02 3 1.00000 0.00000 0.133551E-04 4 0.00000 0.500000 0.210991E-02 5 0.500000 0.500000 0.333333 6 1.00000 0.500000 0.210991E-02 7 0.00000 1.00000 0.133551E-04 8 0.500000 1.00000 0.210991E-02 9 1.00000 1.00000 0.133551E-04 X, Y, Z interpolation: 1 0.00000 0.00000 0.133551E-04 2 0.500000 0.00000 0.210991E-02 3 1.00000 0.00000 0.133551E-04 4 0.00000 0.500000 0.210991E-02 5 0.500000 0.500000 0.333333 6 1.00000 0.500000 0.210991E-02 7 0.00000 1.00000 0.133551E-04 8 0.500000 1.00000 0.210991E-02 9 1.00000 1.00000 0.133551E-04 RMS data interpolation error = 0.00000 RMS data approximation error = 0.502977E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 5 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.133551E-04 2 0.333333 0.00000 0.120219E-02 3 0.666667 0.00000 0.120219E-02 4 1.00000 0.00000 0.133551E-04 5 0.00000 0.333333 0.120219E-02 6 0.333333 0.333333 0.108217 7 0.666667 0.333333 0.108217 8 1.00000 0.333333 0.120219E-02 9 0.00000 0.666667 0.120219E-02 10 0.333333 0.666667 0.108217 11 0.666667 0.666667 0.108217 12 1.00000 0.666667 0.120219E-02 13 0.00000 1.00000 0.133551E-04 14 0.333333 1.00000 0.120219E-02 15 0.666667 1.00000 0.120219E-02 16 1.00000 1.00000 0.133551E-04 X, Y, Z interpolation: 1 0.00000 0.00000 0.133551E-04 2 0.333333 0.00000 0.120219E-02 3 0.666667 0.00000 0.120219E-02 4 1.00000 0.00000 0.133551E-04 5 0.00000 0.333333 0.120219E-02 6 0.333333 0.333333 0.108217 7 0.666667 0.333333 0.108217 8 1.00000 0.333333 0.120219E-02 9 0.00000 0.666667 0.120219E-02 10 0.333333 0.666667 0.108217 11 0.666667 0.666667 0.108217 12 1.00000 0.666667 0.120219E-02 13 0.00000 1.00000 0.133551E-04 14 0.333333 1.00000 0.120219E-02 15 0.666667 1.00000 0.120219E-02 16 1.00000 1.00000 0.133551E-04 RMS data interpolation error = 0.00000 RMS data approximation error = 0.265984E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 5 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.850308E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 5 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.148990E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 6 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.386311E-01 2 1.00000 0.00000 0.386311E-01 3 0.00000 1.00000 0.386311E-01 4 1.00000 1.00000 0.386311E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.386311E-01 2 1.00000 0.00000 0.386311E-01 3 0.00000 1.00000 0.386311E-01 4 1.00000 1.00000 0.386311E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.350258 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 6 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.386311E-01 2 0.500000 0.00000 0.234931 3 1.00000 0.00000 0.386311E-01 4 0.00000 0.500000 0.234931 5 0.500000 0.500000 0.388889 6 1.00000 0.500000 0.234931 7 0.00000 1.00000 0.386311E-01 8 0.500000 1.00000 0.234931 9 1.00000 1.00000 0.386311E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.386311E-01 2 0.500000 0.00000 0.234931 3 1.00000 0.00000 0.386311E-01 4 0.00000 0.500000 0.234931 5 0.500000 0.500000 0.388889 6 1.00000 0.500000 0.234931 7 0.00000 1.00000 0.386311E-01 8 0.500000 1.00000 0.234931 9 1.00000 1.00000 0.386311E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.459089E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 6 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.386311E-01 2 0.333333 0.00000 0.215783 3 0.666667 0.00000 0.215783 4 1.00000 0.00000 0.386311E-01 5 0.00000 0.333333 0.215783 6 0.333333 0.333333 0.357069 7 0.666667 0.333333 0.357069 8 1.00000 0.333333 0.215783 9 0.00000 0.666667 0.215783 10 0.333333 0.666667 0.357069 11 0.666667 0.666667 0.357069 12 1.00000 0.666667 0.215783 13 0.00000 1.00000 0.386311E-01 14 0.333333 1.00000 0.215783 15 0.666667 1.00000 0.215783 16 1.00000 1.00000 0.386311E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.386311E-01 2 0.333333 0.00000 0.215783 3 0.666667 0.00000 0.215783 4 1.00000 0.00000 0.386311E-01 5 0.00000 0.333333 0.215783 6 0.333333 0.333333 0.357069 7 0.666667 0.333333 0.357069 8 1.00000 0.333333 0.215783 9 0.00000 0.666667 0.215783 10 0.333333 0.666667 0.357069 11 0.666667 0.666667 0.357069 12 1.00000 0.666667 0.215783 13 0.00000 1.00000 0.386311E-01 14 0.333333 1.00000 0.215783 15 0.666667 1.00000 0.215783 16 1.00000 1.00000 0.386311E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.139397E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 6 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.595153E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 6 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.755043E-03 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 7 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 0.00000 3 0.00000 1.00000 -1.08804 4 1.00000 1.00000 0.368924 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 0.00000 3 0.00000 1.00000 -1.08804 4 1.00000 1.00000 0.368924 RMS data interpolation error = 0.00000 RMS data approximation error = 0.598472 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 7 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 0.00000 4 0.00000 0.500000 -1.91785 5 0.500000 0.500000 0.544510E-01 6 1.00000 0.500000 0.650288 7 0.00000 1.00000 -1.08804 8 0.500000 1.00000 -1.26756 9 1.00000 1.00000 0.368924 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 0.00000 4 0.00000 0.500000 -1.91785 5 0.500000 0.500000 0.544510E-01 6 1.00000 0.500000 0.650288 7 0.00000 1.00000 -1.08804 8 0.500000 1.00000 -1.26756 9 1.00000 1.00000 0.368924 RMS data interpolation error = 0.00000 RMS data approximation error = 0.376188 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 7 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.00000 3 0.666667 0.00000 0.00000 4 1.00000 0.00000 0.00000 5 0.00000 0.333333 -0.381136 6 0.333333 0.333333 1.27034 7 0.666667 0.333333 0.441767 8 1.00000 0.333333 0.129232 9 0.00000 0.666667 0.748302 10 0.333333 0.666667 0.606310E-01 11 0.666667 0.666667 -0.270366 12 1.00000 0.666667 -0.253728 13 0.00000 1.00000 -1.08804 14 0.333333 1.00000 0.877535 15 0.666667 1.00000 -0.634864 16 1.00000 1.00000 0.368924 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.00000 3 0.666667 0.00000 0.00000 4 1.00000 0.00000 0.00000 5 0.00000 0.333333 -0.381136 6 0.333333 0.333333 1.27034 7 0.666667 0.333333 0.441767 8 1.00000 0.333333 0.129232 9 0.00000 0.666667 0.748302 10 0.333333 0.666667 0.606310E-01 11 0.666667 0.666667 -0.270366 12 1.00000 0.666667 -0.253728 13 0.00000 1.00000 -1.08804 14 0.333333 1.00000 0.877535 15 0.666667 1.00000 -0.634864 16 1.00000 1.00000 0.368924 RMS data interpolation error = 0.00000 RMS data approximation error = 0.187656 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 7 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.313809 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 7 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.606468E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 8 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.652165E-05 2 1.00000 0.00000 0.652165E-05 3 0.00000 1.00000 0.652165E-05 4 1.00000 1.00000 0.652165E-05 X, Y, Z interpolation: 1 0.00000 0.00000 0.652165E-05 2 1.00000 0.00000 0.652165E-05 3 0.00000 1.00000 0.652165E-05 4 1.00000 1.00000 0.652165E-05 RMS data interpolation error = 0.00000 RMS data approximation error = 2.49999 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 8 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.652165E-05 2 0.500000 0.00000 1.00001 3 1.00000 0.00000 0.652165E-05 4 0.00000 0.500000 0.750007 5 0.500000 0.500000 2.50000 6 1.00000 0.500000 0.750007 7 0.00000 1.00000 0.652165E-05 8 0.500000 1.00000 1.00001 9 1.00000 1.00000 0.652165E-05 X, Y, Z interpolation: 1 0.00000 0.00000 0.652165E-05 2 0.500000 0.00000 1.00001 3 1.00000 0.00000 0.652165E-05 4 0.00000 0.500000 0.750007 5 0.500000 0.500000 2.50000 6 1.00000 0.500000 0.750007 7 0.00000 1.00000 0.652165E-05 8 0.500000 1.00000 1.00001 9 1.00000 1.00000 0.652165E-05 RMS data interpolation error = 0.00000 RMS data approximation error = 0.500934 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 8 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.652165E-05 2 0.333333 0.00000 0.249356 3 0.666667 0.00000 0.249356 4 1.00000 0.00000 0.652165E-05 5 0.00000 0.333333 0.187019 6 0.333333 0.333333 0.482999 7 0.666667 0.333333 0.482999 8 1.00000 0.333333 0.187019 9 0.00000 0.666667 0.187019 10 0.333333 0.666667 0.482999 11 0.666667 0.666667 0.482999 12 1.00000 0.666667 0.187019 13 0.00000 1.00000 0.652165E-05 14 0.333333 1.00000 0.249356 15 0.666667 1.00000 0.249356 16 1.00000 1.00000 0.652165E-05 X, Y, Z interpolation: 1 0.00000 0.00000 0.652165E-05 2 0.333333 0.00000 0.249356 3 0.666667 0.00000 0.249356 4 1.00000 0.00000 0.652165E-05 5 0.00000 0.333333 0.187019 6 0.333333 0.333333 0.482999 7 0.666667 0.333333 0.482999 8 1.00000 0.333333 0.187019 9 0.00000 0.666667 0.187019 10 0.333333 0.666667 0.482999 11 0.666667 0.666667 0.482999 12 1.00000 0.666667 0.187019 13 0.00000 1.00000 0.652165E-05 14 0.333333 1.00000 0.249356 15 0.666667 1.00000 0.249356 16 1.00000 1.00000 0.652165E-05 RMS data interpolation error = 0.00000 RMS data approximation error = 0.259198 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 8 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.330896E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 8 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.123725E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 9 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.996532E-01 2 1.00000 0.00000 -0.189352 3 0.00000 1.00000 -0.189352 4 1.00000 1.00000 0.359788 X, Y, Z interpolation: 1 0.00000 0.00000 0.996532E-01 2 1.00000 0.00000 -0.189352 3 0.00000 1.00000 -0.189352 4 1.00000 1.00000 0.359788 RMS data interpolation error = 0.00000 RMS data approximation error = 0.189352 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 9 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.996532E-01 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 -0.189352 4 0.00000 0.500000 0.00000 5 0.500000 0.500000 0.00000 6 1.00000 0.500000 -0.00000 7 0.00000 1.00000 -0.189352 8 0.500000 1.00000 -0.00000 9 1.00000 1.00000 0.359788 X, Y, Z interpolation: 1 0.00000 0.00000 0.996532E-01 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 -0.189352 4 0.00000 0.500000 0.00000 5 0.500000 0.500000 0.00000 6 1.00000 0.500000 0.00000 7 0.00000 1.00000 -0.189352 8 0.500000 1.00000 0.00000 9 1.00000 1.00000 0.359788 RMS data interpolation error = 0.00000 RMS data approximation error = 15.3964 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 9 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.996532E-01 2 0.333333 0.00000 2.04469 3 0.666667 0.00000 -2.87176 4 1.00000 0.00000 -0.189352 5 0.00000 0.333333 2.04469 6 0.333333 0.333333 41.9532 7 0.666667 0.333333 -58.9230 8 1.00000 0.333333 -3.88513 9 0.00000 0.666667 -2.87176 10 0.333333 0.666667 -58.9230 11 0.666667 0.666667 82.7569 12 1.00000 0.666667 5.45664 13 0.00000 1.00000 -0.189352 14 0.333333 1.00000 -3.88513 15 0.666667 1.00000 5.45664 16 1.00000 1.00000 0.359788 X, Y, Z interpolation: 1 0.00000 0.00000 0.996532E-01 2 0.333333 0.00000 2.04469 3 0.666667 0.00000 -2.87176 4 1.00000 0.00000 -0.189352 5 0.00000 0.333333 2.04469 6 0.333333 0.333333 41.9532 7 0.666667 0.333333 -58.9230 8 1.00000 0.333333 -3.88513 9 0.00000 0.666667 -2.87176 10 0.333333 0.666667 -58.9230 11 0.666667 0.666667 82.7569 12 1.00000 0.666667 5.45664 13 0.00000 1.00000 -0.189352 14 0.333333 1.00000 -3.88513 15 0.666667 1.00000 5.45664 16 1.00000 1.00000 0.359788 RMS data interpolation error = 0.00000 RMS data approximation error = 10.1837 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 9 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 7.22707 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem # 9 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 1.03289 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 -0.830877E-01 2 1.00000 0.00000 -0.830877E-01 3 0.00000 1.00000 -0.830877E-01 4 1.00000 1.00000 -0.830877E-01 X, Y, Z interpolation: 1 0.00000 0.00000 -0.830877E-01 2 1.00000 0.00000 -0.830877E-01 3 0.00000 1.00000 -0.830877E-01 4 1.00000 1.00000 -0.830877E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 1.08309 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 -0.830877E-01 2 0.500000 0.00000 0.147613 3 1.00000 0.00000 -0.830877E-01 4 0.00000 0.500000 0.193855 5 0.500000 0.500000 1.00000 6 1.00000 0.500000 0.193855 7 0.00000 1.00000 -0.830877E-01 8 0.500000 1.00000 0.147613 9 1.00000 1.00000 -0.830877E-01 X, Y, Z interpolation: 1 0.00000 0.00000 -0.830877E-01 2 0.500000 0.00000 0.147613 3 1.00000 0.00000 -0.830877E-01 4 0.00000 0.500000 0.193855 5 0.500000 0.500000 1.00000 6 1.00000 0.500000 0.193855 7 0.00000 1.00000 -0.830877E-01 8 0.500000 1.00000 0.147613 9 1.00000 1.00000 -0.830877E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.200003 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 -0.830877E-01 2 0.333333 0.00000 0.111225 3 0.666667 0.00000 0.111225 4 1.00000 0.00000 -0.830877E-01 5 0.00000 0.333333 0.179674 6 0.333333 0.333333 -0.444234 7 0.666667 0.333333 -0.444234 8 1.00000 0.333333 0.179674 9 0.00000 0.666667 0.179674 10 0.333333 0.666667 -0.444234 11 0.666667 0.666667 -0.444234 12 1.00000 0.666667 0.179674 13 0.00000 1.00000 -0.830877E-01 14 0.333333 1.00000 0.111225 15 0.666667 1.00000 0.111225 16 1.00000 1.00000 -0.830877E-01 X, Y, Z interpolation: 1 0.00000 0.00000 -0.830877E-01 2 0.333333 0.00000 0.111225 3 0.666667 0.00000 0.111225 4 1.00000 0.00000 -0.830877E-01 5 0.00000 0.333333 0.179674 6 0.333333 0.333333 -0.444234 7 0.666667 0.333333 -0.444234 8 1.00000 0.333333 0.179674 9 0.00000 0.666667 0.179674 10 0.333333 0.666667 -0.444234 11 0.666667 0.666667 -0.444234 12 1.00000 0.666667 0.179674 13 0.00000 1.00000 -0.830877E-01 14 0.333333 1.00000 0.111225 15 0.666667 1.00000 0.111225 16 1.00000 1.00000 -0.830877E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.177348 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.817147E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #10 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.128289E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 1.00000 3 0.00000 1.00000 0.00000 4 1.00000 1.00000 2.00000 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 1.00000 3 0.00000 1.00000 0.00000 4 1.00000 1.00000 2.00000 RMS data interpolation error = 0.00000 RMS data approximation error = 0.250000 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.500000 3 1.00000 0.00000 1.00000 4 0.00000 0.500000 0.00000 5 0.500000 0.500000 0.750000 6 1.00000 0.500000 1.50000 7 0.00000 1.00000 0.00000 8 0.500000 1.00000 1.00000 9 1.00000 1.00000 2.00000 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.500000 3 1.00000 0.00000 1.00000 4 0.00000 0.500000 0.00000 5 0.500000 0.500000 0.750000 6 1.00000 0.500000 1.50000 7 0.00000 1.00000 0.00000 8 0.500000 1.00000 1.00000 9 1.00000 1.00000 2.00000 RMS data interpolation error = 0.00000 RMS data approximation error = 0.312500E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.333333 3 0.666667 0.00000 0.666667 4 1.00000 0.00000 1.00000 5 0.00000 0.333333 0.00000 6 0.333333 0.333333 0.444444 7 0.666667 0.333333 0.888889 8 1.00000 0.333333 1.33333 9 0.00000 0.666667 0.00000 10 0.333333 0.666667 0.555556 11 0.666667 0.666667 1.11111 12 1.00000 0.666667 1.66667 13 0.00000 1.00000 0.00000 14 0.333333 1.00000 0.666667 15 0.666667 1.00000 1.33333 16 1.00000 1.00000 2.00000 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.333333 3 0.666667 0.00000 0.666667 4 1.00000 0.00000 1.00000 5 0.00000 0.333333 0.00000 6 0.333333 0.333333 0.444444 7 0.666667 0.333333 0.888889 8 1.00000 0.333333 1.33333 9 0.00000 0.666667 0.00000 10 0.333333 0.666667 0.555556 11 0.666667 0.666667 1.11111 12 1.00000 0.666667 1.66667 13 0.00000 1.00000 0.00000 14 0.333333 1.00000 0.666667 15 0.666667 1.00000 1.33333 16 1.00000 1.00000 2.00000 RMS data interpolation error = 0.00000 RMS data approximation error = 0.925926E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.390625E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #11 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.488281E-03 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 0.00000 3 0.00000 1.00000 0.688241 4 1.00000 1.00000 1.87271 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 1.00000 0.00000 0.00000 3 0.00000 1.00000 0.688241 4 1.00000 1.00000 1.87271 RMS data interpolation error = 0.00000 RMS data approximation error = 0.116255 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 0.00000 4 0.00000 0.500000 0.748896 5 0.500000 0.500000 0.460375 6 1.00000 0.500000 0.666271 7 0.00000 1.00000 0.688241 8 0.500000 1.00000 1.16513 9 1.00000 1.00000 1.87271 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.500000 0.00000 0.00000 3 1.00000 0.00000 0.00000 4 0.00000 0.500000 0.748896 5 0.500000 0.500000 0.460375 6 1.00000 0.500000 0.666271 7 0.00000 1.00000 0.688241 8 0.500000 1.00000 1.16513 9 1.00000 1.00000 1.87271 RMS data interpolation error = 0.00000 RMS data approximation error = 0.108418 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.00000 3 0.666667 0.00000 0.00000 4 1.00000 0.00000 0.00000 5 0.00000 0.333333 0.814257 6 0.333333 0.333333 0.745440 7 0.666667 0.333333 0.286978 8 1.00000 0.333333 0.382482 9 0.00000 0.666667 0.525181 10 0.333333 0.666667 0.501849 11 0.666667 0.666667 0.538925 12 1.00000 0.666667 1.04327 13 0.00000 1.00000 0.688241 14 0.333333 1.00000 0.940324 15 0.666667 1.00000 1.44307 16 1.00000 1.00000 1.87271 X, Y, Z interpolation: 1 0.00000 0.00000 0.00000 2 0.333333 0.00000 0.00000 3 0.666667 0.00000 0.00000 4 1.00000 0.00000 0.00000 5 0.00000 0.333333 0.814257 6 0.333333 0.333333 0.745440 7 0.666667 0.333333 0.286978 8 1.00000 0.333333 0.382482 9 0.00000 0.666667 0.525181 10 0.333333 0.666667 0.501849 11 0.666667 0.666667 0.538925 12 1.00000 0.666667 1.04327 13 0.00000 1.00000 0.688241 14 0.333333 1.00000 0.940324 15 0.666667 1.00000 1.44307 16 1.00000 1.00000 1.87271 RMS data interpolation error = 0.00000 RMS data approximation error = 0.381489E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.176400E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #12 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.251502E-02 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13 Using polynomial interpolant of product degree 2 x 2 Number of data points = 4 X, Y, Z data: 1 0.00000 0.00000 0.196078E-01 2 1.00000 0.00000 0.196078E-01 3 0.00000 1.00000 0.196078E-01 4 1.00000 1.00000 0.196078E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.196078E-01 2 1.00000 0.00000 0.196078E-01 3 0.00000 1.00000 0.196078E-01 4 1.00000 1.00000 0.196078E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.980392 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13 Using polynomial interpolant of product degree 3 x 3 Number of data points = 9 X, Y, Z data: 1 0.00000 0.00000 0.196078E-01 2 0.500000 0.00000 0.384615E-01 3 1.00000 0.00000 0.196078E-01 4 0.00000 0.500000 0.384615E-01 5 0.500000 0.500000 1.00000 6 1.00000 0.500000 0.384615E-01 7 0.00000 1.00000 0.196078E-01 8 0.500000 1.00000 0.384615E-01 9 1.00000 1.00000 0.196078E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.196078E-01 2 0.500000 0.00000 0.384615E-01 3 1.00000 0.00000 0.196078E-01 4 0.00000 0.500000 0.384615E-01 5 0.500000 0.500000 1.00000 6 1.00000 0.500000 0.384615E-01 7 0.00000 1.00000 0.196078E-01 8 0.500000 1.00000 0.384615E-01 9 1.00000 1.00000 0.196078E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.154567 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13 Using polynomial interpolant of product degree 4 x 4 Number of data points = 16 X, Y, Z data: 1 0.00000 0.00000 0.196078E-01 2 0.333333 0.00000 0.347490E-01 3 0.666667 0.00000 0.347490E-01 4 1.00000 0.00000 0.196078E-01 5 0.00000 0.333333 0.347490E-01 6 0.333333 0.333333 0.152542 7 0.666667 0.333333 0.152542 8 1.00000 0.333333 0.347490E-01 9 0.00000 0.666667 0.347490E-01 10 0.333333 0.666667 0.152542 11 0.666667 0.666667 0.152542 12 1.00000 0.666667 0.347490E-01 13 0.00000 1.00000 0.196078E-01 14 0.333333 1.00000 0.347490E-01 15 0.666667 1.00000 0.347490E-01 16 1.00000 1.00000 0.196078E-01 X, Y, Z interpolation: 1 0.00000 0.00000 0.196078E-01 2 0.333333 0.00000 0.347490E-01 3 0.666667 0.00000 0.347490E-01 4 1.00000 0.00000 0.196078E-01 5 0.00000 0.333333 0.347490E-01 6 0.333333 0.333333 0.152542 7 0.666667 0.333333 0.152542 8 1.00000 0.333333 0.347490E-01 9 0.00000 0.666667 0.347490E-01 10 0.333333 0.666667 0.152542 11 0.666667 0.666667 0.152542 12 1.00000 0.666667 0.347490E-01 13 0.00000 1.00000 0.196078E-01 14 0.333333 1.00000 0.347490E-01 15 0.666667 1.00000 0.347490E-01 16 1.00000 1.00000 0.196078E-01 RMS data interpolation error = 0.00000 RMS data approximation error = 0.944453E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13 Using polynomial interpolant of product degree 5 x 5 Number of data points = 25 RMS data interpolation error = 0.00000 RMS data approximation error = 0.278242E-01 PWL_INTERP_2D_TEST01: Interpolate data from TEST_INTERP_2D problem #13 Using polynomial interpolant of product degree 9 x 9 Number of data points = 81 RMS data interpolation error = 0.00000 RMS data approximation error = 0.439773E-02 PWL_INTERP_2D_TEST: Normal end of execution. 14 September 2021 7:36:19.688 PM