21 March 2020 06:55:13 PM
LAGRANGE_APPROX_1D_TEST:
C++ version
Test the LAGRANGE_APPROX_1D library.
The R8LIB library is needed.
The QR_SOLVE library is needed.
These tests need the TEST_INTERP_1D library.
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 = 0.339102
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
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
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 = 0.240598
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
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
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 = 0.185693
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
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
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 = 0.152878
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
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
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 = 0.123213
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
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
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 = 0.0967979
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
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
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 = 8.08511e-08
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 5.62001e-09
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 3.38887e-14
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 = 2.08012e-14
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 = 1.38752e-14
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 = 1.45017e-14
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 = 2.19273e-14
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 = 1.71131e-14
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 2.84695e-08
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 = 0.00822645
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.81787e-07
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.02977e-13
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 = 1.25779e-07
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 = 3.10301e-08
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 2.76617e-07
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.04444e-09
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 8.54396e-10
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 8.049e-11
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.5021e-14
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 = 1.56725e-14
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 = 1.8868e-14
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 = 5.24957e-15
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 = 1.24377e-14
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 = 1.17636e-14
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 3.56019e-10
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 5.27061e-09
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 4.60987e-14
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 = 1.32704e-07
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.39053e-09
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 = 1.58229e-11
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
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
LAGRANGE_APPROX_1D_TEST:
Normal end of execution.
21 March 2020 06:55:13 PM