09 May 2025   9:32:04.817 PM

shepard_interp_nd_test():
  Fortran90 version
  Test shepard_interp_nd().
  The R8LIB library is needed.
  This test also needs the TEST_INTERP_ND library.

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.830082E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.127429E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.461496E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.588462E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.504802E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.317113E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.401594E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.949062E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.581105E-03

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.116863E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.330638E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.194089E-04

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.293305E-05

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.329738E-05

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.214099E-06

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.164531E-08

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.123590E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.842547E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.942670E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.345573E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.457663E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.658055E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.270553E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.127361E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.620864E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.803443E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.375274E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.220759E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.143114E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.173217E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.121434E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.560686E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.982013E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.106918E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.673752E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.521272E-02

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.163146E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.170447E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.122409E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.108522E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.915759E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.564267E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.219369E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.241524E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.125531    

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.214655E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.793166E-01

TEST01():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and an irregular grid of ND =   25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.128818    

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.210210E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.108551E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.955689E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.774645E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.369906E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.443213E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.276981E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   1
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.158242E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.182875E-05

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.438680E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.199482E-04

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.273536E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.629253E-06

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.339903E-06

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.196935E-06

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   2
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.265896E-06

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.195997E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.622355E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.855124E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.104305E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.695034E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.555486E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.129263E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   3
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.228246E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.224223E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.409453E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.107634E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.861571E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.222885E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.326082E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.100945E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   4
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.716831E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.245063E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.617388E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.541978E-03

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.121926E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.352539E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.301810E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.172190E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   5
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.103713E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.585951E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.948741E-02

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.125845E-01

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    2
  and a regular grid of N1D^M =     25 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.183621E-01

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    1.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.168659E-01

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    2.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.265697E-01

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    4.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.157211E-01

TEST02():
  Interpolate data from TEST_INTERP_ND problem #   6
  using Shepard interpolation with P =    8.00000    
  spatial dimension M =    5
  and a regular grid of N1D^M =   3125 data points.

  L2 interpolation error averaged per interpolant node =    0.00000    
  L2 approximation error averaged per 1000 samples =       0.265106E-01

shepard_interp_nd_test():
  Normal end of execution.

09 May 2025   9:32:09.679 PM