07-Jan-2022 22:41:51 lagrange_approx_1d_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Test lagrange_approx_1d(). These tests need TEST_INTERP_1D. LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 1 ans = 16 1 Created plot file "p01_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 1 ans = 64 1 Created plot file "p01_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 1 ans = 1000 1 Created plot file "p01_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 2 ans = 16 1 Created plot file "p01_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 2 ans = 64 1 Created plot file "p01_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 2 ans = 1000 1 Created plot file "p01_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 3 ans = 16 1 Created plot file "p01_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 3 ans = 64 1 Created plot file "p01_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 3 ans = 1000 1 Created plot file "p01_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 4 ans = 16 1 Created plot file "p01_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 4 ans = 64 1 Created plot file "p01_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 4 ans = 1000 1 Created plot file "p01_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 5 ans = 16 1 Created plot file "p01_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 5 ans = 64 1 Created plot file "p01_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 5 ans = 1000 1 Created plot file "p01_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 9 ans = 16 1 Created plot file "p01_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 9 ans = 64 1 Created plot file "p01_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 9 ans = 1000 1 Created plot file "p01_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.31696 ans = 16 17 ans = 16 1 Created plot file "p01_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 1.33161 ans = 64 17 ans = 64 1 Created plot file "p01_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 1.3271 ans = 1000 17 ans = 1000 1 Created plot file "p01_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 1 ans = 16 1 Created plot file "p02_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 1 ans = 64 1 Created plot file "p02_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 1 ans = 1000 1 Created plot file "p02_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 2 ans = 16 1 Created plot file "p02_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 2 ans = 64 1 Created plot file "p02_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 2 ans = 1000 1 Created plot file "p02_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 3 ans = 16 1 Created plot file "p02_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 3 ans = 64 1 Created plot file "p02_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 3 ans = 1000 1 Created plot file "p02_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 4 ans = 16 1 Created plot file "p02_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 4 ans = 64 1 Created plot file "p02_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 4 ans = 1000 1 Created plot file "p02_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 5 ans = 16 1 Created plot file "p02_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 5 ans = 64 1 Created plot file "p02_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 5 ans = 1000 1 Created plot file "p02_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 9 ans = 16 1 Created plot file "p02_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 9 ans = 64 1 Created plot file "p02_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 9 ans = 1000 1 Created plot file "p02_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.24342 ans = 16 17 ans = 16 1 Created plot file "p02_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 1.20257 ans = 64 17 ans = 64 1 Created plot file "p02_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 1.19101 ans = 1000 17 ans = 1000 1 Created plot file "p02_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 1 ans = 16 1 Created plot file "p03_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 1 ans = 64 1 Created plot file "p03_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 1 ans = 1000 1 Created plot file "p03_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 2 ans = 16 1 Created plot file "p03_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 2 ans = 64 1 Created plot file "p03_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 2 ans = 1000 1 Created plot file "p03_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 3 ans = 16 1 Created plot file "p03_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 3 ans = 64 1 Created plot file "p03_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 3 ans = 1000 1 Created plot file "p03_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 4 ans = 16 1 Created plot file "p03_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 4 ans = 64 1 Created plot file "p03_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 4 ans = 1000 1 Created plot file "p03_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 5 ans = 16 1 Created plot file "p03_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 5 ans = 64 1 Created plot file "p03_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 5 ans = 1000 1 Created plot file "p03_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 9 ans = 16 1 Created plot file "p03_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 9 ans = 64 1 Created plot file "p03_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 9 ans = 1000 1 Created plot file "p03_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 0.708991 ans = 16 17 ans = 16 1 Created plot file "p03_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.738379 ans = 64 17 ans = 64 1 Created plot file "p03_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.743314 ans = 1000 17 ans = 1000 1 Created plot file "p03_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 1 ans = 16 1 Created plot file "p04_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 1 ans = 64 1 Created plot file "p04_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 1 ans = 1000 1 Created plot file "p04_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 2 ans = 16 1 Created plot file "p04_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 2 ans = 64 1 Created plot file "p04_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 2 ans = 1000 1 Created plot file "p04_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 3 ans = 16 1 Created plot file "p04_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 3 ans = 64 1 Created plot file "p04_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 3 ans = 1000 1 Created plot file "p04_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 4 ans = 16 1 Created plot file "p04_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 4 ans = 64 1 Created plot file "p04_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 4 ans = 1000 1 Created plot file "p04_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 5 ans = 16 1 Created plot file "p04_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 5 ans = 64 1 Created plot file "p04_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 5 ans = 1000 1 Created plot file "p04_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 9 ans = 16 1 Created plot file "p04_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 9 ans = 64 1 Created plot file "p04_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 9 ans = 1000 1 Created plot file "p04_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.3611 ans = 16 17 ans = 16 1 Created plot file "p04_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 1.34775 ans = 64 17 ans = 64 1 Created plot file "p04_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 1.34433 ans = 1000 17 ans = 1000 1 Created plot file "p04_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 1 ans = 16 1 Created plot file "p05_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 1 ans = 64 1 Created plot file "p05_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 1 ans = 1000 1 Created plot file "p05_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 2 ans = 16 1 Created plot file "p05_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 2 ans = 64 1 Created plot file "p05_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 2 ans = 1000 1 Created plot file "p05_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 3 ans = 16 1 Created plot file "p05_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 3 ans = 64 1 Created plot file "p05_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 3 ans = 1000 1 Created plot file "p05_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 4 ans = 16 1 Created plot file "p05_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 4 ans = 64 1 Created plot file "p05_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 4 ans = 1000 1 Created plot file "p05_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 5 ans = 16 1 Created plot file "p05_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 5 ans = 64 1 Created plot file "p05_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 5 ans = 1000 1 Created plot file "p05_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 9 ans = 16 1 Created plot file "p05_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 9 ans = 64 1 Created plot file "p05_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 9 ans = 1000 1 Created plot file "p05_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 9.74807 ans = 16 17 ans = 16 1 Created plot file "p05_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 7.29969 ans = 64 17 ans = 64 1 Created plot file "p05_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 7.12093 ans = 1000 17 ans = 1000 1 Created plot file "p05_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 1 ans = 16 1 Created plot file "p06_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 1 ans = 64 1 Created plot file "p06_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 1 ans = 1000 1 Created plot file "p06_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 2 ans = 16 1 Created plot file "p06_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 2 ans = 64 1 Created plot file "p06_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 2 ans = 1000 1 Created plot file "p06_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 3 ans = 16 1 Created plot file "p06_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 3 ans = 64 1 Created plot file "p06_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 3 ans = 1000 1 Created plot file "p06_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 4 ans = 16 1 Created plot file "p06_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 4 ans = 64 1 Created plot file "p06_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 4 ans = 1000 1 Created plot file "p06_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 5 ans = 16 1 Created plot file "p06_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 5 ans = 64 1 Created plot file "p06_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 5 ans = 1000 1 Created plot file "p06_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 9 ans = 16 1 Created plot file "p06_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 9 ans = 64 1 Created plot file "p06_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 9 ans = 1000 1 Created plot file "p06_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 0.36868 ans = 16 17 ans = 16 1 Created plot file "p06_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.37236 ans = 64 17 ans = 64 1 Created plot file "p06_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.373457 ans = 1000 17 ans = 1000 1 Created plot file "p06_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.494804 ans = 16 1 ans = 16 1 Created plot file "p07_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.253188 ans = 64 1 ans = 64 1 Created plot file "p07_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0643879 ans = 1000 1 ans = 1000 1 Created plot file "p07_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.441869 ans = 16 2 ans = 16 1 Created plot file "p07_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.224636 ans = 64 2 ans = 64 1 Created plot file "p07_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.056963 ans = 1000 2 ans = 1000 1 Created plot file "p07_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.395849 ans = 16 3 ans = 16 1 Created plot file "p07_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.202045 ans = 64 3 ans = 64 1 Created plot file "p07_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.0512808 ans = 1000 3 ans = 1000 1 Created plot file "p07_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.332983 ans = 16 4 ans = 16 1 Created plot file "p07_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.170909 ans = 64 4 ans = 64 1 Created plot file "p07_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.0433248 ans = 1000 4 ans = 1000 1 Created plot file "p07_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.320653 ans = 16 5 ans = 16 1 Created plot file "p07_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.165044 ans = 64 5 ans = 64 1 Created plot file "p07_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.041867 ans = 1000 5 ans = 1000 1 Created plot file "p07_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.228126 ans = 16 9 ans = 16 1 Created plot file "p07_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.124149 ans = 64 9 ans = 64 1 Created plot file "p07_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.0315679 ans = 1000 9 ans = 1000 1 Created plot file "p07_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.44476e-07 ans = 16 17 ans = 16 1 Created plot file "p07_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.0888552 ans = 64 17 ans = 64 1 Created plot file "p07_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.0228763 ans = 1000 17 ans = 1000 1 Created plot file "p07_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 1 ans = 16 1 Created plot file "p08_lageven_00_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 1 ans = 64 1 Created plot file "p08_lageven_00_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 1 ans = 1000 1 Created plot file "p08_lageven_00_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 2 ans = 16 1 Created plot file "p08_lageven_01_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 2 ans = 64 1 Created plot file "p08_lageven_01_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 2 ans = 1000 1 Created plot file "p08_lageven_01_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 3 ans = 16 1 Created plot file "p08_lageven_02_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 3 ans = 64 1 Created plot file "p08_lageven_02_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 3 ans = 1000 1 Created plot file "p08_lageven_02_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 4 ans = 16 1 Created plot file "p08_lageven_03_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 4 ans = 64 1 Created plot file "p08_lageven_03_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 4 ans = 1000 1 Created plot file "p08_lageven_03_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 5 ans = 16 1 Created plot file "p08_lageven_04_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 5 ans = 64 1 Created plot file "p08_lageven_04_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 5 ans = 1000 1 Created plot file "p08_lageven_04_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 9 ans = 16 1 Created plot file "p08_lageven_08_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 9 ans = 64 1 Created plot file "p08_lageven_08_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 9 ans = 1000 1 Created plot file "p08_lageven_08_1000.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 0.281324 ans = 16 17 ans = 16 1 Created plot file "p08_lageven_16_16.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.284104 ans = 64 17 ans = 64 1 Created plot file "p08_lageven_16_64.png". LAGRANGE_APPROX_1D_TEST02: Approximate evenly spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.284774 ans = 1000 17 ans = 1000 1 Created plot file "p08_lageven_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.318305 ans = 16 1 ans = 16 1 Created plot file "p01_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.160822 ans = 64 1 ans = 64 1 Created plot file "p01_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0407328 ans = 1000 1 ans = 1000 1 Created plot file "p01_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.230506 ans = 16 2 ans = 16 1 Created plot file "p01_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.113552 ans = 64 2 ans = 64 1 Created plot file "p01_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.0287151 ans = 1000 2 ans = 1000 1 Created plot file "p01_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.14805 ans = 16 3 ans = 16 1 Created plot file "p01_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0796243 ans = 64 3 ans = 64 1 Created plot file "p01_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.0203639 ans = 1000 3 ans = 1000 1 Created plot file "p01_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.140191 ans = 16 4 ans = 16 1 Created plot file "p01_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.0715261 ans = 64 4 ans = 64 1 Created plot file "p01_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.018193 ans = 1000 4 ans = 1000 1 Created plot file "p01_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.0955066 ans = 16 5 ans = 16 1 Created plot file "p01_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.0522266 ans = 64 5 ans = 64 1 Created plot file "p01_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.0133735 ans = 1000 5 ans = 1000 1 Created plot file "p01_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.076757 ans = 16 9 ans = 16 1 Created plot file "p01_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.0456383 ans = 64 9 ans = 64 1 Created plot file "p01_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.0116871 ans = 1000 9 ans = 1000 1 Created plot file "p01_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.26534e-09 ans = 16 17 ans = 16 1 Created plot file "p01_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.029605 ans = 64 17 ans = 64 1 Created plot file "p01_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #1. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.0077606 ans = 1000 17 ans = 1000 1 Created plot file "p01_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.34057 ans = 16 1 ans = 16 1 Created plot file "p02_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.16792 ans = 64 1 ans = 64 1 Created plot file "p02_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0423124 ans = 1000 1 ans = 1000 1 Created plot file "p02_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.154471 ans = 16 2 ans = 16 1 Created plot file "p02_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.0759758 ans = 64 2 ans = 64 1 Created plot file "p02_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.0191486 ans = 1000 2 ans = 1000 1 Created plot file "p02_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.0543997 ans = 16 3 ans = 16 1 Created plot file "p02_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0268106 ans = 64 3 ans = 64 1 Created plot file "p02_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.00679881 ans = 1000 3 ans = 1000 1 Created plot file "p02_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.027061 ans = 16 4 ans = 16 1 Created plot file "p02_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.0128587 ans = 64 4 ans = 64 1 Created plot file "p02_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.00326353 ans = 1000 4 ans = 1000 1 Created plot file "p02_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.025076 ans = 16 5 ans = 16 1 Created plot file "p02_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.0119402 ans = 64 5 ans = 64 1 Created plot file "p02_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.00303726 ans = 1000 5 ans = 1000 1 Created plot file "p02_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.00841292 ans = 16 9 ans = 16 1 Created plot file "p02_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.0035533 ans = 64 9 ans = 64 1 Created plot file "p02_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.000916116 ans = 1000 9 ans = 1000 1 Created plot file "p02_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 1.07298e-10 ans = 16 17 ans = 16 1 Created plot file "p02_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.00136302 ans = 64 17 ans = 64 1 Created plot file "p02_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #2. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.000364291 ans = 1000 17 ans = 1000 1 Created plot file "p02_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.177223 ans = 16 1 ans = 16 1 Created plot file "p03_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.0907263 ans = 64 1 ans = 64 1 Created plot file "p03_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0231162 ans = 1000 1 ans = 1000 1 Created plot file "p03_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.176219 ans = 16 2 ans = 16 1 Created plot file "p03_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.0901604 ans = 64 2 ans = 64 1 Created plot file "p03_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.0229676 ans = 1000 2 ans = 1000 1 Created plot file "p03_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.137846 ans = 16 3 ans = 16 1 Created plot file "p03_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0693248 ans = 64 3 ans = 64 1 Created plot file "p03_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.0175505 ans = 1000 3 ans = 1000 1 Created plot file "p03_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.12512 ans = 16 4 ans = 16 1 Created plot file "p03_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.0616308 ans = 64 4 ans = 64 1 Created plot file "p03_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.0154744 ans = 1000 4 ans = 1000 1 Created plot file "p03_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.124111 ans = 16 5 ans = 16 1 Created plot file "p03_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.0614471 ans = 64 5 ans = 64 1 Created plot file "p03_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.0154485 ans = 1000 5 ans = 1000 1 Created plot file "p03_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 1.1463e-14 ans = 16 9 ans = 16 1 Created plot file "p03_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 9.55412e-15 ans = 64 9 ans = 64 1 Created plot file "p03_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 2.9649e-15 ans = 1000 9 ans = 1000 1 Created plot file "p03_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 7.20324e-15 ans = 16 17 ans = 16 1 Created plot file "p03_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 9.57626e-15 ans = 64 17 ans = 64 1 Created plot file "p03_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #3. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 2.81637e-15 ans = 1000 17 ans = 1000 1 Created plot file "p03_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.356674 ans = 16 1 ans = 16 1 Created plot file "p04_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.176934 ans = 64 1 ans = 64 1 Created plot file "p04_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0447012 ans = 1000 1 ans = 1000 1 Created plot file "p04_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.136798 ans = 16 2 ans = 16 1 Created plot file "p04_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.0689368 ans = 64 2 ans = 64 1 Created plot file "p04_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.0175008 ans = 1000 2 ans = 1000 1 Created plot file "p04_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.116671 ans = 16 3 ans = 16 1 Created plot file "p04_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0573157 ans = 64 3 ans = 64 1 Created plot file "p04_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.014535 ans = 1000 3 ans = 1000 1 Created plot file "p04_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.08792 ans = 16 4 ans = 16 1 Created plot file "p04_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.0440168 ans = 64 4 ans = 64 1 Created plot file "p04_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.0111852 ans = 1000 4 ans = 1000 1 Created plot file "p04_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.0665821 ans = 16 5 ans = 16 1 Created plot file "p04_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.0319644 ans = 64 5 ans = 64 1 Created plot file "p04_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.00811682 ans = 1000 5 ans = 1000 1 Created plot file "p04_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.0355498 ans = 16 9 ans = 16 1 Created plot file "p04_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.017511 ans = 64 9 ans = 64 1 Created plot file "p04_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.00445076 ans = 1000 9 ans = 1000 1 Created plot file "p04_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 4.63256e-10 ans = 16 17 ans = 16 1 Created plot file "p04_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.00706498 ans = 64 17 ans = 64 1 Created plot file "p04_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #4. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.00178664 ans = 1000 17 ans = 1000 1 Created plot file "p04_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 2.25184 ans = 16 1 ans = 16 1 Created plot file "p05_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 1.03734 ans = 64 1 ans = 64 1 Created plot file "p05_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.259468 ans = 1000 1 ans = 1000 1 Created plot file "p05_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 2.22633 ans = 16 2 ans = 16 1 Created plot file "p05_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 1.02421 ans = 64 2 ans = 64 1 Created plot file "p05_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.256098 ans = 1000 2 ans = 1000 1 Created plot file "p05_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 1.39124 ans = 16 3 ans = 16 1 Created plot file "p05_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.939476 ans = 64 3 ans = 64 1 Created plot file "p05_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.23708 ans = 1000 3 ans = 1000 1 Created plot file "p05_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 1.38146 ans = 16 4 ans = 16 1 Created plot file "p05_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.934329 ans = 64 4 ans = 64 1 Created plot file "p05_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.235678 ans = 1000 4 ans = 1000 1 Created plot file "p05_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 1.05544 ans = 16 5 ans = 16 1 Created plot file "p05_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.763755 ans = 64 5 ans = 64 1 Created plot file "p05_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.194242 ans = 1000 5 ans = 1000 1 Created plot file "p05_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.560417 ans = 16 9 ans = 16 1 Created plot file "p05_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.601717 ans = 64 9 ans = 64 1 Created plot file "p05_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.153004 ans = 1000 9 ans = 1000 1 Created plot file "p05_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 7.2093e-09 ans = 16 17 ans = 16 1 Created plot file "p05_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.477064 ans = 64 17 ans = 64 1 Created plot file "p05_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #5. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.121421 ans = 1000 17 ans = 1000 1 Created plot file "p05_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.0875275 ans = 16 1 ans = 16 1 Created plot file "p06_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.0442992 ans = 64 1 ans = 64 1 Created plot file "p06_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0112476 ans = 1000 1 ans = 1000 1 Created plot file "p06_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.0561389 ans = 16 2 ans = 16 1 Created plot file "p06_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.0278538 ans = 64 2 ans = 64 1 Created plot file "p06_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.00702225 ans = 1000 2 ans = 1000 1 Created plot file "p06_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.0501106 ans = 16 3 ans = 16 1 Created plot file "p06_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0250774 ans = 64 3 ans = 64 1 Created plot file "p06_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.00633981 ans = 1000 3 ans = 1000 1 Created plot file "p06_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.0180685 ans = 16 4 ans = 16 1 Created plot file "p06_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.00910691 ans = 64 4 ans = 64 1 Created plot file "p06_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.00230689 ans = 1000 4 ans = 1000 1 Created plot file "p06_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.0129296 ans = 16 5 ans = 16 1 Created plot file "p06_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.00644693 ans = 64 5 ans = 64 1 Created plot file "p06_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.00162578 ans = 1000 5 ans = 1000 1 Created plot file "p06_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.000437963 ans = 16 9 ans = 16 1 Created plot file "p06_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.000220659 ans = 64 9 ans = 64 1 Created plot file "p06_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 5.58002e-05 ans = 1000 9 ans = 1000 1 Created plot file "p06_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 5.63958e-14 ans = 16 17 ans = 16 1 Created plot file "p06_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 1.32703e-07 ans = 64 17 ans = 64 1 Created plot file "p06_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #6. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 3.34887e-08 ans = 1000 17 ans = 1000 1 Created plot file "p06_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.42038 ans = 16 1 ans = 16 1 Created plot file "p07_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.217436 ans = 64 1 ans = 64 1 Created plot file "p07_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.0553576 ans = 1000 1 ans = 1000 1 Created plot file "p07_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.375603 ans = 16 2 ans = 16 1 Created plot file "p07_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.194947 ans = 64 2 ans = 64 1 Created plot file "p07_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.0496105 ans = 1000 2 ans = 1000 1 Created plot file "p07_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.326203 ans = 16 3 ans = 16 1 Created plot file "p07_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.170254 ans = 64 3 ans = 64 1 Created plot file "p07_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.0433771 ans = 1000 3 ans = 1000 1 Created plot file "p07_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.267661 ans = 16 4 ans = 16 1 Created plot file "p07_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.142739 ans = 64 4 ans = 64 1 Created plot file "p07_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.0364144 ans = 1000 4 ans = 1000 1 Created plot file "p07_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.256093 ans = 16 5 ans = 16 1 Created plot file "p07_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.136782 ans = 64 5 ans = 64 1 Created plot file "p07_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.0349068 ans = 1000 5 ans = 1000 1 Created plot file "p07_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.169738 ans = 16 9 ans = 16 1 Created plot file "p07_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.100825 ans = 64 9 ans = 64 1 Created plot file "p07_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.0258736 ans = 1000 9 ans = 1000 1 Created plot file "p07_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 2.06875e-09 ans = 16 17 ans = 16 1 Created plot file "p07_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.0706409 ans = 64 17 ans = 64 1 Created plot file "p07_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #7. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.0185153 ans = 1000 17 ans = 1000 1 Created plot file "p07_lagcheby_16_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 16 ans = 16 1 ans = 16 1 L2 approximation error averaged per data node = 0.0601819 ans = 16 1 ans = 16 1 Created plot file "p08_lagcheby_00_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 64 ans = 64 1 ans = 64 1 L2 approximation error averaged per data node = 0.031315 ans = 64 1 ans = 64 1 Created plot file "p08_lagcheby_00_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 0. Number of data points = 1000 ans = 1000 1 ans = 1000 1 L2 approximation error averaged per data node = 0.00795798 ans = 1000 1 ans = 1000 1 Created plot file "p08_lagcheby_00_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 16 ans = 16 2 ans = 16 1 L2 approximation error averaged per data node = 0.0601819 ans = 16 2 ans = 16 1 Created plot file "p08_lagcheby_01_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 64 ans = 64 2 ans = 64 1 L2 approximation error averaged per data node = 0.031315 ans = 64 2 ans = 64 1 Created plot file "p08_lagcheby_01_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 1. Number of data points = 1000 ans = 1000 2 ans = 1000 1 L2 approximation error averaged per data node = 0.00795798 ans = 1000 2 ans = 1000 1 Created plot file "p08_lagcheby_01_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 16 ans = 16 3 ans = 16 1 L2 approximation error averaged per data node = 0.039565 ans = 16 3 ans = 16 1 Created plot file "p08_lagcheby_02_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 64 ans = 64 3 ans = 64 1 L2 approximation error averaged per data node = 0.0210442 ans = 64 3 ans = 64 1 Created plot file "p08_lagcheby_02_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 2. Number of data points = 1000 ans = 1000 3 ans = 1000 1 L2 approximation error averaged per data node = 0.00534839 ans = 1000 3 ans = 1000 1 Created plot file "p08_lagcheby_02_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 16 ans = 16 4 ans = 16 1 L2 approximation error averaged per data node = 0.039565 ans = 16 4 ans = 16 1 Created plot file "p08_lagcheby_03_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 64 ans = 64 4 ans = 64 1 L2 approximation error averaged per data node = 0.0210442 ans = 64 4 ans = 64 1 Created plot file "p08_lagcheby_03_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 3. Number of data points = 1000 ans = 1000 4 ans = 1000 1 L2 approximation error averaged per data node = 0.00534839 ans = 1000 4 ans = 1000 1 Created plot file "p08_lagcheby_03_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 16 ans = 16 5 ans = 16 1 L2 approximation error averaged per data node = 0.0255343 ans = 16 5 ans = 16 1 Created plot file "p08_lagcheby_04_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 64 ans = 64 5 ans = 64 1 L2 approximation error averaged per data node = 0.0141421 ans = 64 5 ans = 64 1 Created plot file "p08_lagcheby_04_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 4. Number of data points = 1000 ans = 1000 5 ans = 1000 1 L2 approximation error averaged per data node = 0.00359453 ans = 1000 5 ans = 1000 1 Created plot file "p08_lagcheby_04_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 16 ans = 16 9 ans = 16 1 L2 approximation error averaged per data node = 0.00922841 ans = 16 9 ans = 16 1 Created plot file "p08_lagcheby_08_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 64 ans = 64 9 ans = 64 1 L2 approximation error averaged per data node = 0.00638682 ans = 64 9 ans = 64 1 Created plot file "p08_lagcheby_08_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 8. Number of data points = 1000 ans = 1000 9 ans = 1000 1 L2 approximation error averaged per data node = 0.00162361 ans = 1000 9 ans = 1000 1 Created plot file "p08_lagcheby_08_1000.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 16 ans = 16 17 ans = 16 1 L2 approximation error averaged per data node = 2.35033e-11 ans = 16 17 ans = 16 1 Created plot file "p08_lagcheby_16_16.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 64 ans = 64 17 ans = 64 1 L2 approximation error averaged per data node = 0.00130271 ans = 64 17 ans = 64 1 Created plot file "p08_lagcheby_16_64.png". LAGRANGE_APPROX_1D_TEST03: Approximate Chebyshev-spaced data from TEST_INTERP_1D problem #8. Use polynomial approximant of degree 16. Number of data points = 1000 ans = 1000 17 ans = 1000 1 L2 approximation error averaged per data node = 0.000331254 ans = 1000 17 ans = 1000 1 Created plot file "p08_lagcheby_16_1000.png". lagrange_approx_1d_test(): Normal end of execution. 07-Jan-2022 22:43:54