14 September 2021 7:36:18.236 PM PWL_APPROX_1D_TEST: FORTRAN90 version Test the PWL_APPROX_1D library. The QR_SOLVE library is needed. The R8LIB library is needed. The test also needs the TEST_INTERP_1D library. TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.240598 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.123596 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.152619 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.805827E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.699614E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.422033E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 1 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.362216E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.148928 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.695370E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.602764E-16 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.640399E-16 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.134799E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.570115E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 2 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.631588E-16 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.177000 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.922593E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.104389 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.460788E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.639154E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.269715E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 3 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.663117E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.155149 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.763902E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.104969 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.513850E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.289289E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.132779E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 4 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.421590E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 2.42567 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.905658 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 2.30738 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.851458 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 2.04746 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.757202 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 5 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.491408 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.556998E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.259941E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.214935E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.100910E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.289630E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.174043E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 6 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.314275E-03 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.441869 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.224636 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.292634 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.152422 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.153309 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.965209E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 7 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.625833E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 2 Number of data points = 16 L2 approximation error averaged per data node = 0.703311E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 2 Number of data points = 64 L2 approximation error averaged per data node = 0.355130E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 4 Number of data points = 16 L2 approximation error averaged per data node = 0.493494E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 4 Number of data points = 64 L2 approximation error averaged per data node = 0.248042E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 8 Number of data points = 16 L2 approximation error averaged per data node = 0.181713E-01 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 8 Number of data points = 64 L2 approximation error averaged per data node = 0.976369E-02 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 16 Number of data points = 16 L2 approximation error averaged per data node = 0.00000 TEST01: Approximate data from TEST_INTERP_1D problem # 8 Number of control points = 16 Number of data points = 64 L2 approximation error averaged per data node = 0.156590E-02 PWL_APPROX_1D_TEST: Normal end of execution. 14 September 2021 7:36:18.238 PM