06 October 2025   6:36:27.261 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 =       0.175726E-01

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 =       0.472768E-02

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 =       0.869028E-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 =       0.621399E-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 =       0.506869E-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 =       0.396778E-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 =       0.120904E-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 =       0.110178E-01

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 =       0.148653E-05

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 =       0.597516E-04

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 =       0.767978E-05

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 =       0.220396E-05

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 =       0.101676E-06

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 =       0.573056E-06

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 =       0.122924E-08

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 =       0.124180E-05

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 =       0.209045E-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 =       0.748833E-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 =       0.850236E-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 =       0.680802E-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 =       0.361541E-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 =       0.185977E-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 =       0.281519E-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 =       0.207523E-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 =       0.593451E-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 =       0.569899E-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 =       0.123059E-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 =       0.281598E-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 =       0.107604E-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 =       0.163209E-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 =       0.728763E-02

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 =       0.946870E-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 =       0.998294E-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 =       0.524168E-02

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 =       0.283971E-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 =       0.553152E-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 =       0.180271E-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 =       0.176068E-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 =       0.115071E-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 =       0.136480E-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 =       0.799268E-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 =       0.495588E-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 =       0.526937E-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 =       0.506576E-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 =       0.576779    

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 =       0.432585E-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 =       0.135716    

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 =       0.818617E-01

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 =       0.560948E-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 =       0.190882E-03

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 =       0.328651E-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 =       0.415365E-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 =       0.866082E-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 =       0.396698E-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 =       0.228644E-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 =       0.453689E-03

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 =       0.639453E-06

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 =       0.610692E-09

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 =       0.668797E-03

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 =       0.291432E-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 =       0.352100E-10

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 =       0.477220E-07

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 =       0.162517E-10

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 =       0.826844E-11

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 =       0.262880E-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 =       0.102608E-02

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 =       0.571596E-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 =       0.114081E-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 =       0.432601E-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 =       0.413947E-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 =       0.116725E-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 =       0.470233E-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 =       0.128456E-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 =       0.119387E-02

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 =       0.508177E-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 =       0.995852E-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 =       0.451167E-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 =       0.411168E-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 =       0.153339E-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 =       0.626492E-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 =       0.272816E-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 =       0.157875E-02

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 =       0.818128E-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 =       0.987427E-03

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 =       0.310713E-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 =       0.335058E-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 =       0.161993E-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 =       0.726942E-03

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 =       0.481192E-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 =       0.128512E-01

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 =       0.139916E-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 =       0.162735E-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 =       0.354180E-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 =       0.305135E-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 =       0.175974E-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 =       0.233611E-01

shepard_interp_nd_test():
  Normal end of execution.

06 October 2025   6:36:32.120 PM