08-Jan-2022 09:02:36

pwl_interp_1d_test():
  MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2
  Test pwl_interp_1d().
  The R8LIB library is needed.
  The test needs TEST_INTERP.

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           4
    2:           1           5
    3:           2           6
    4:           4           6
    5:           5           5
    6:           6           3
    7:           7           1
    8:           8           1
    9:           9           1
   10:          10           3
   11:          11           4
   12:          12           4
   13:          13           3
   14:          14           3
   15:          15           4
   16:          16           4
   17:          17           3
   18:          18           0

  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           0
    2:        1.34           5
    3:           5        8.66
    4:          10          10
    5:        10.6        10.4
    6:        10.7          12
    7:      10.705        28.6
    8:        10.8        30.2
    9:        11.4        30.6
   10:        19.6        30.6
   11:        20.2        30.2
   12:      20.295        28.6
   13:        20.3          12
   14:        20.4        10.4
   15:          21          10
   16:          26        8.66
   17:       29.66           5
   18:          31           0

  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           0
    2:           2          10
    3:           3          10
    4:           5          10
    5:           6          10
    6:           8          10
    7:           9        10.5
    8:          11          15
    9:          12          50
   10:          14          60
   11:          15          85

  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           0
    2:        0.05         0.7
    3:         0.1           1
    4:         0.2           1
    5:         0.8         0.3
    6:        0.85        0.05
    7:         0.9         0.1
    8:           1           1

  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           0
    2:         0.1         0.9
    3:         0.2        0.95
    4:         0.3         0.9
    5:         0.4         0.1
    6:         0.5        0.05
    7:         0.6        0.05
    8:         0.8         0.2
    9:           1           1

  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       0.644
    2:         605       0.622
    3:         615       0.638
    4:         625       0.649
    5:         635       0.652
    6:         645       0.639
    7:         655       0.646
    8:         665       0.657
    9:         675       0.652
   10:         685       0.655
   11:         695       0.644
   12:         705       0.663
   13:         715       0.663
   14:         725       0.668
   15:         735       0.676
   16:         745       0.676
   17:         755       0.686
   18:         765       0.679
   19:         775       0.678
   20:         785       0.683
   21:         795       0.694
   22:         805       0.699
   23:         815        0.71
   24:         825        0.73
   25:         835       0.763
   26:         845       0.812
   27:         855       0.907
   28:         865       1.044
   29:         875       1.336
   30:         885       1.881
   31:         895       2.169
   32:         905       2.075
   33:         915       1.598
   34:         925       1.211
   35:         935       0.916
   36:         945       0.746
   37:         955       0.672
   38:         965       0.627
   39:         975       0.615
   40:         985       0.607
   41:         995       0.606
   42:        1005       0.609
   43:        1015       0.603
   44:        1025       0.601
   45:        1035       0.603
   46:        1045       0.601
   47:        1055       0.611
   48:        1065       0.601
   49:        1075       0.608

  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           1
    2:           1           2
    3:           4           2
    4:           5           1

  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           1
    2:        -0.8        0.64
    3:        -0.6        0.36
    4:        -0.4        0.16
    5:        -0.2        0.04
    6:           0           0
    7:         0.2        0.04
    8:     0.20001        0.05
    9:         0.4        0.16
   10:         0.6        0.36
   11:         0.8        0.64
   12:           1           1

  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.

08-Jan-2022 09:02:42