06-Mar-2019 07:41:51 pwl_interp_1d_test: MATLAB version Test pwl_interp_1d. The R8LIB library is needed. The test needs the TEST_INTERP library. PWL_VALUE_1D_TEST: PWL_VALUE_1D evaluates a piecewise linear 1D interpolant. Table of interpolant values: 1: 0 -28 2: 0.5 -18.5 3: 1 -9 4: 1.5 0.5 5: 2 10 6: 2.5 7 7: 3 4 8: 3.5 1 9: 4 -2 10: 4.5 -5 11: 5 -8 12: 5.5 9 13: 6 26 14: 6.5 43 15: 7 60 16: 7.5 77 17: 8 94 18: 8.5 111 19: 9 128 20: 9.5 145 21: 10 162 PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #1. Number of data points = 18 Data array: Row: 1 2 Col 1: 0.000000 4.000000 2: 1.000000 5.000000 3: 2.000000 6.000000 4: 4.000000 6.000000 5: 5.000000 5.000000 6: 6.000000 3.000000 7: 7.000000 1.000000 8: 8.000000 1.000000 9: 9.000000 1.000000 10: 10.000000 3.000000 11: 11.000000 4.000000 12: 12.000000 4.000000 13: 13.000000 3.000000 14: 14.000000 3.000000 15: 15.000000 4.000000 16: 16.000000 4.000000 17: 17.000000 3.000000 18: 18.000000 0.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p01_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #2. Number of data points = 18 Data array: Row: 1 2 Col 1: 0.000000 0.000000 2: 1.340000 5.000000 3: 5.000000 8.660000 4: 10.000000 10.000000 5: 10.600000 10.400000 6: 10.700000 12.000000 7: 10.705000 28.600000 8: 10.800000 30.200000 9: 11.400000 30.600000 10: 19.600000 30.600000 11: 20.200000 30.200000 12: 20.295000 28.600000 13: 20.300000 12.000000 14: 20.400000 10.400000 15: 21.000000 10.000000 16: 26.000000 8.660000 17: 29.660000 5.000000 18: 31.000000 0.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p02_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #3. Number of data points = 11 Data array: Row: 1 2 Col 1: 0.000000 0.000000 2: 2.000000 10.000000 3: 3.000000 10.000000 4: 5.000000 10.000000 5: 6.000000 10.000000 6: 8.000000 10.000000 7: 9.000000 10.500000 8: 11.000000 15.000000 9: 12.000000 50.000000 10: 14.000000 60.000000 11: 15.000000 85.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p03_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #4. Number of data points = 8 Data array: Row: 1 2 Col 1: 0.000000 0.000000 2: 0.050000 0.700000 3: 0.100000 1.000000 4: 0.200000 1.000000 5: 0.800000 0.300000 6: 0.850000 0.050000 7: 0.900000 0.100000 8: 1.000000 1.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p04_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #5. Number of data points = 9 Data array: Row: 1 2 Col 1: 0.000000 0.000000 2: 0.100000 0.900000 3: 0.200000 0.950000 4: 0.300000 0.900000 5: 0.400000 0.100000 6: 0.500000 0.050000 7: 0.600000 0.050000 8: 0.800000 0.200000 9: 1.000000 1.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p05_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #6. Number of data points = 49 Data array: Row: 1 2 Col 1: 595.000000 0.644000 2: 605.000000 0.622000 3: 615.000000 0.638000 4: 625.000000 0.649000 5: 635.000000 0.652000 6: 645.000000 0.639000 7: 655.000000 0.646000 8: 665.000000 0.657000 9: 675.000000 0.652000 10: 685.000000 0.655000 11: 695.000000 0.644000 12: 705.000000 0.663000 13: 715.000000 0.663000 14: 725.000000 0.668000 15: 735.000000 0.676000 16: 745.000000 0.676000 17: 755.000000 0.686000 18: 765.000000 0.679000 19: 775.000000 0.678000 20: 785.000000 0.683000 21: 795.000000 0.694000 22: 805.000000 0.699000 23: 815.000000 0.710000 24: 825.000000 0.730000 25: 835.000000 0.763000 26: 845.000000 0.812000 27: 855.000000 0.907000 28: 865.000000 1.044000 29: 875.000000 1.336000 30: 885.000000 1.881000 31: 895.000000 2.169000 32: 905.000000 2.075000 33: 915.000000 1.598000 34: 925.000000 1.211000 35: 935.000000 0.916000 36: 945.000000 0.746000 37: 955.000000 0.672000 38: 965.000000 0.627000 39: 975.000000 0.615000 40: 985.000000 0.607000 41: 995.000000 0.606000 42: 1005.000000 0.609000 43: 1015.000000 0.603000 44: 1025.000000 0.601000 45: 1035.000000 0.603000 46: 1045.000000 0.601000 47: 1055.000000 0.611000 48: 1065.000000 0.601000 49: 1075.000000 0.608000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p06_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #7. Number of data points = 4 Data array: Row: 1 2 Col 1: 0.000000 1.000000 2: 1.000000 2.000000 3: 4.000000 2.000000 4: 5.000000 1.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p07_pwl.png". PWL_INTERP_1D_TEST01: PWL_INTERP_1D evaluates the piecewise linear interpolant. Interpolate data from TEST_INTERP problem #8. Number of data points = 12 Data array: Row: 1 2 Col 1: -1.000000 1.000000 2: -0.800000 0.640000 3: -0.600000 0.360000 4: -0.400000 0.160000 5: -0.200000 0.040000 6: 0.000000 0.000000 7: 0.200000 0.040000 8: 0.200010 0.050000 9: 0.400000 0.160000 10: 0.600000 0.360000 11: 0.800000 0.640000 12: 1.000000 1.000000 L2 interpolation error averaged per interpolant node = 0 Created plot file "p08_pwl.png". PWL_INTERP_1D_TEST02: Plot the piecewise linear basis functions for TEST_INTERP problem #7 Number of data points = 4 X Data Locations: 1: 0 2: 1 3: 4 4: 5 Created plot file "p07_pwl_basis.png". pwl_interp_1d_test: Normal end of execution. 06-Mar-2019 07:41:54