03 March 2022 08:39:40 PM

RBF_INTERP_ND_TEST:
  C version
  Test the RBF_INTERP_ND library.
  The R8LIB library is also required.

RBF_INTERP_ND_TEST01:
  RBF_WEIGHT computes weights for RBF interpolation.
  RBF_INTERP_ND evaluates the RBF interpolant.
  Use the multiquadratic basis function PHI1(R).
  Scale factor R0 = 0.4

  L2 interpolation error averaged per interpolant node = 2.96286e-16
  L2 approximation error averaged per 1000 samples = 0.0031887

RBF_INTERP_ND_TEST02:
  RBF_WEIGHT computes weights for RBF interpolation.
  RBF_INTERP_ND evaluates the RBF interpolant.
  Use the inverse multiquadratic basis function PHI2(R).
  Scale factor R0 = 0.4

  L2 interpolation error averaged per interpolant node = 5.89813e-17
  L2 approximation error averaged per 1000 samples = 0.00410702

RBF_INTERP_ND_TEST03:
  RBF_WEIGHT computes weights for RBF interpolation.
  RBF_INTERP_ND evaluates the RBF interpolant.
  Use the thin-plate spline basis function PHI3(R).
  Scale factor R0 = 0.4

  L2 interpolation error averaged per interpolant node = 9.00541e-16
  L2 approximation error averaged per 1000 samples = 0.0026366

RBF_INTERP_ND_TEST04:
  RBF_WEIGHT computes weights for RBF interpolation.
  RBF_INTERP_ND evaluates the RBF interpolant.
  Use the gaussian basis function PHI4(R).
  Scale factor R0 = 0.4

  L2 interpolation error averaged per interpolant node = 3.90968e-17
  L2 approximation error averaged per 1000 samples = 0.00413716

RBF_INTERP_ND_TEST:
  Normal end of execution.

03 March 2022 08:39:40 PM