09 October 2012 11:53:57 AM 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 = 2.80098e-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 = 1.76526e-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 = 1.41623e-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 = 1.81615e-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 = 1.54227e-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 = 1.2419e-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 = 0.477063 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. 09 October 2012 11:53:58 AM