06-Feb-2019 15:08:50

lagrange_approx_1d_test:
  MATLAB version
  Test lagrange_approx_1d.
  These tests need the TEST_INTERP_1D libraries.

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.329239
  Created plot file "p01_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.166452
  Created plot file "p01_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0419666
  Created plot file "p01_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.241563
  Created plot file "p01_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.123596
  Created plot file "p01_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.031449
  Created plot file "p01_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.187615
  Created plot file "p01_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0887418
  Created plot file "p01_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0220189
  Created plot file "p01_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.16528
  Created plot file "p01_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0797787
  Created plot file "p01_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.020121
  Created plot file "p01_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.124402
  Created plot file "p01_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0615409
  Created plot file "p01_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0155226
  Created plot file "p01_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0985304
  Created plot file "p01_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0539803
  Created plot file "p01_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0136472
  Created plot file "p01_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 3.27371e-07
  Created plot file "p01_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.035519
  Created plot file "p01_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00922048
  Created plot file "p01_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.310855
  Created plot file "p02_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.150322
  Created plot file "p02_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.037663
  Created plot file "p02_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.148928
  Created plot file "p02_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.069537
  Created plot file "p02_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.017237
  Created plot file "p02_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0596755
  Created plot file "p02_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0281495
  Created plot file "p02_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0070326
  Created plot file "p02_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0303801
  Created plot file "p02_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0134775
  Created plot file "p02_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00331813
  Created plot file "p02_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0290094
  Created plot file "p02_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.01302
  Created plot file "p02_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00322334
  Created plot file "p02_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0102938
  Created plot file "p02_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0042149
  Created plot file "p02_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00102749
  Created plot file "p02_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.59625e-08
  Created plot file "p02_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00178635
  Created plot file "p02_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.000420427
  Created plot file "p02_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.177248
  Created plot file "p03_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0922974
  Created plot file "p03_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0235056
  Created plot file "p03_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.177
  Created plot file "p03_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0922593
  Created plot file "p03_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0234966
  Created plot file "p03_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.149408
  Created plot file "p03_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0741944
  Created plot file "p03_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.018702
  Created plot file "p03_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.130175
  Created plot file "p03_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0585046
  Created plot file "p03_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.014142
  Created plot file "p03_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.130135
  Created plot file "p03_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0572512
  Created plot file "p03_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0134738
  Created plot file "p03_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.68441e-13
  Created plot file "p03_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.7442e-13
  Created plot file "p03_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 3.84237e-14
  Created plot file "p03_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 7.05494e-14
  Created plot file "p03_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.73127e-13
  Created plot file "p03_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 2.77934e-14
  Created plot file "p03_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.340274
  Created plot file "p04_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.168469
  Created plot file "p04_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0425116
  Created plot file "p04_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.155149
  Created plot file "p04_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0763902
  Created plot file "p04_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0193
  Created plot file "p04_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.128058
  Created plot file "p04_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0619788
  Created plot file "p04_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0155615
  Created plot file "p04_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.103655
  Created plot file "p04_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0503747
  Created plot file "p04_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0127081
  Created plot file "p04_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0759665
  Created plot file "p04_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.036264
  Created plot file "p04_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00909271
  Created plot file "p04_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0440258
  Created plot file "p04_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0207858
  Created plot file "p04_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00523983
  Created plot file "p04_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.20822e-07
  Created plot file "p04_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00822646
  Created plot file "p04_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00208625
  Created plot file "p04_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.43702
  Created plot file "p05_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.912461
  Created plot file "p05_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.225184
  Created plot file "p05_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.42567
  Created plot file "p05_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.905658
  Created plot file "p05_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.22345
  Created plot file "p05_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.36481
  Created plot file "p05_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.901398
  Created plot file "p05_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.22333
  Created plot file "p05_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.34275
  Created plot file "p05_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.881055
  Created plot file "p05_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.217365
  Created plot file "p05_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.08849
  Created plot file "p05_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.807521
  Created plot file "p05_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.203694
  Created plot file "p05_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.74483
  Created plot file "p05_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.683562
  Created plot file "p05_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.173257
  Created plot file "p05_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 6.33303e-07
  Created plot file "p05_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.545176
  Created plot file "p05_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.139144
  Created plot file "p05_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0921699
  Created plot file "p06_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.046545
  Created plot file "p06_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0118098
  Created plot file "p06_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0556998
  Created plot file "p06_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0259941
  Created plot file "p06_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00642064
  Created plot file "p06_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0521267
  Created plot file "p06_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0247449
  Created plot file "p06_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00614395
  Created plot file "p06_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.019907
  Created plot file "p06_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00951932
  Created plot file "p06_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00236086
  Created plot file "p06_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0138423
  Created plot file "p06_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00624733
  Created plot file "p06_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00150203
  Created plot file "p06_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0004099
  Created plot file "p06_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.000229333
  Created plot file "p06_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 5.48379e-05
  Created plot file "p06_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 6.57138e-13
  Created plot file "p06_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.2578e-07
  Created plot file "p06_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 3.10302e-08
  Created plot file "p06_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.494804
  Created plot file "p07_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.253188
  Created plot file "p07_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0643879
  Created plot file "p07_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.441869
  Created plot file "p07_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.224636
  Created plot file "p07_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.056963
  Created plot file "p07_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.395849
  Created plot file "p07_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.202045
  Created plot file "p07_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0512808
  Created plot file "p07_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.332983
  Created plot file "p07_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.170909
  Created plot file "p07_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0433248
  Created plot file "p07_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.320653
  Created plot file "p07_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.165044
  Created plot file "p07_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.041867
  Created plot file "p07_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.228126
  Created plot file "p07_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.124149
  Created plot file "p07_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0315679
  Created plot file "p07_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.16381e-06
  Created plot file "p07_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0888552
  Created plot file "p07_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0228763
  Created plot file "p07_lageven_16_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0703311
  Created plot file "p08_lageven_00_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.035513
  Created plot file "p08_lageven_00_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00900535
  Created plot file "p08_lageven_00_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0703311
  Created plot file "p08_lageven_01_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.035513
  Created plot file "p08_lageven_01_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00900535
  Created plot file "p08_lageven_01_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0484293
  Created plot file "p08_lageven_02_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0241573
  Created plot file "p08_lageven_02_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00609318
  Created plot file "p08_lageven_02_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0484293
  Created plot file "p08_lageven_03_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0241573
  Created plot file "p08_lageven_03_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00609318
  Created plot file "p08_lageven_03_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0327928
  Created plot file "p08_lageven_04_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0163536
  Created plot file "p08_lageven_04_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00410558
  Created plot file "p08_lageven_04_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0137692
  Created plot file "p08_lageven_08_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00744795
  Created plot file "p08_lageven_08_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00185906
  Created plot file "p08_lageven_08_1000.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 5.48384e-09
  Created plot file "p08_lageven_16_16.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00150129
  Created plot file "p08_lageven_16_64.png".

LAGRANGE_APPROX_1D_TEST02:
  Approximate evenly spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.000380259
  Created plot file "p08_lageven_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.318305
  Created plot file "p01_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.160822
  Created plot file "p01_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0407328
  Created plot file "p01_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.230506
  Created plot file "p01_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.113552
  Created plot file "p01_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0287151
  Created plot file "p01_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.14805
  Created plot file "p01_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0796243
  Created plot file "p01_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0203639
  Created plot file "p01_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.140191
  Created plot file "p01_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0715261
  Created plot file "p01_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.018193
  Created plot file "p01_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0955066
  Created plot file "p01_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0522266
  Created plot file "p01_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0133735
  Created plot file "p01_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.076757
  Created plot file "p01_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0456383
  Created plot file "p01_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0116871
  Created plot file "p01_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.0712e-08
  Created plot file "p01_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.029605
  Created plot file "p01_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0077606
  Created plot file "p01_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.34057
  Created plot file "p02_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.16792
  Created plot file "p02_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0423124
  Created plot file "p02_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.154471
  Created plot file "p02_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0759758
  Created plot file "p02_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0191486
  Created plot file "p02_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0543997
  Created plot file "p02_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0268106
  Created plot file "p02_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00679881
  Created plot file "p02_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.027061
  Created plot file "p02_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0128587
  Created plot file "p02_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00326353
  Created plot file "p02_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.025076
  Created plot file "p02_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0119402
  Created plot file "p02_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00303726
  Created plot file "p02_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.00841292
  Created plot file "p02_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0035533
  Created plot file "p02_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.000916116
  Created plot file "p02_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.48082e-09
  Created plot file "p02_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00136302
  Created plot file "p02_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.000364291
  Created plot file "p02_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.177223
  Created plot file "p03_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0907263
  Created plot file "p03_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0231162
  Created plot file "p03_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.176219
  Created plot file "p03_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0901604
  Created plot file "p03_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0229676
  Created plot file "p03_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.137846
  Created plot file "p03_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0693248
  Created plot file "p03_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0175505
  Created plot file "p03_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.12512
  Created plot file "p03_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0616308
  Created plot file "p03_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0154744
  Created plot file "p03_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.124111
  Created plot file "p03_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0614471
  Created plot file "p03_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0154485
  Created plot file "p03_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.4097e-13
  Created plot file "p03_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.20975e-13
  Created plot file "p03_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 2.15242e-14
  Created plot file "p03_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 6.94994e-14
  Created plot file "p03_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.13484e-13
  Created plot file "p03_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 3.69233e-14
  Created plot file "p03_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.356674
  Created plot file "p04_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.176934
  Created plot file "p04_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0447012
  Created plot file "p04_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.136798
  Created plot file "p04_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0689368
  Created plot file "p04_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0175008
  Created plot file "p04_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.116671
  Created plot file "p04_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0573157
  Created plot file "p04_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.014535
  Created plot file "p04_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.08792
  Created plot file "p04_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0440168
  Created plot file "p04_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0111852
  Created plot file "p04_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0665821
  Created plot file "p04_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0319644
  Created plot file "p04_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00811682
  Created plot file "p04_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0355498
  Created plot file "p04_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.017511
  Created plot file "p04_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00445076
  Created plot file "p04_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 4.07788e-09
  Created plot file "p04_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00706498
  Created plot file "p04_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00178664
  Created plot file "p04_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.25184
  Created plot file "p05_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.03734
  Created plot file "p05_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.259468
  Created plot file "p05_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.22633
  Created plot file "p05_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.02421
  Created plot file "p05_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.256098
  Created plot file "p05_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.39124
  Created plot file "p05_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.939476
  Created plot file "p05_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.23708
  Created plot file "p05_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.38146
  Created plot file "p05_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.934329
  Created plot file "p05_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.235678
  Created plot file "p05_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.05544
  Created plot file "p05_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.763755
  Created plot file "p05_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.194242
  Created plot file "p05_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.560417
  Created plot file "p05_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.601717
  Created plot file "p05_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.153004
  Created plot file "p05_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 6.98309e-08
  Created plot file "p05_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.477064
  Created plot file "p05_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.121421
  Created plot file "p05_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0875275
  Created plot file "p06_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0442992
  Created plot file "p06_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0112476
  Created plot file "p06_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0561389
  Created plot file "p06_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0278538
  Created plot file "p06_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00702225
  Created plot file "p06_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0501106
  Created plot file "p06_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0250774
  Created plot file "p06_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00633981
  Created plot file "p06_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0180685
  Created plot file "p06_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00910691
  Created plot file "p06_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00230689
  Created plot file "p06_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0129296
  Created plot file "p06_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00644693
  Created plot file "p06_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00162578
  Created plot file "p06_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.000437963
  Created plot file "p06_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.000220659
  Created plot file "p06_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 5.58002e-05
  Created plot file "p06_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 4.24795e-13
  Created plot file "p06_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 1.32703e-07
  Created plot file "p06_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 3.34887e-08
  Created plot file "p06_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.42038
  Created plot file "p07_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.217436
  Created plot file "p07_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0553576
  Created plot file "p07_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.375603
  Created plot file "p07_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.194947
  Created plot file "p07_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0496105
  Created plot file "p07_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.326203
  Created plot file "p07_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.170254
  Created plot file "p07_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0433771
  Created plot file "p07_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.267661
  Created plot file "p07_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.142739
  Created plot file "p07_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0364144
  Created plot file "p07_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.256093
  Created plot file "p07_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.136782
  Created plot file "p07_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0349068
  Created plot file "p07_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.169738
  Created plot file "p07_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.100825
  Created plot file "p07_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0258736
  Created plot file "p07_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 1.67332e-08
  Created plot file "p07_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0706409
  Created plot file "p07_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.0185153
  Created plot file "p07_lagcheby_16_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0601819
  Created plot file "p08_lagcheby_00_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.031315
  Created plot file "p08_lagcheby_00_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 0.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00795798
  Created plot file "p08_lagcheby_00_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0601819
  Created plot file "p08_lagcheby_01_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.031315
  Created plot file "p08_lagcheby_01_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 1.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00795798
  Created plot file "p08_lagcheby_01_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.039565
  Created plot file "p08_lagcheby_02_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0210442
  Created plot file "p08_lagcheby_02_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 2.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00534839
  Created plot file "p08_lagcheby_02_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.039565
  Created plot file "p08_lagcheby_03_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0210442
  Created plot file "p08_lagcheby_03_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 3.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00534839
  Created plot file "p08_lagcheby_03_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.0255343
  Created plot file "p08_lagcheby_04_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.0141421
  Created plot file "p08_lagcheby_04_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 4.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00359453
  Created plot file "p08_lagcheby_04_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 16

  L2 approximation error averaged per data node = 0.00922841
  Created plot file "p08_lagcheby_08_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00638682
  Created plot file "p08_lagcheby_08_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 8.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.00162361
  Created plot file "p08_lagcheby_08_1000.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 16

  L2 approximation error averaged per data node = 2.37174e-10
  Created plot file "p08_lagcheby_16_16.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 64

  L2 approximation error averaged per data node = 0.00130271
  Created plot file "p08_lagcheby_16_64.png".

LAGRANGE_INTERP_1D_TEST03:
  Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8.
  Use polynomial approximant of degree 16.
  Number of data points = 1000

  L2 approximation error averaged per data node = 0.000331254
  Created plot file "p08_lagcheby_16_1000.png".

lagrange_approx_1d_test:
  Normal end of execution.

06-Feb-2019 15:15:17