Interpolation Technology The innovative interpolation technology at RDIC is based on Dirac-Monte Carlo method. The detailed mathematical treatment of the method is documented and can be downloaded in WORD format or PDF format. Interpolants for Cartesian and non-Cartesian coordinates have been establ...

Lower Dimensionality - Interpolant Formula The interpolant for one dimension has been provided in Introduction Section. Below we present interpolant formulas for 2-dimension.For 2-dimension, the interpolant is derived and has the form, Eq. (E) One needs to Provide M' value, 1, 2, (x1i, x2i), f...

RANDOM INTERPOLATION Higher Dimensionality(A Sample Case, 4D) The sample function has the analytic form:f(x1, x2, x3, x4 ) = x12 + x22 + 2 x32 + x42- 5 x1 - 5 x2 - 21 x3 + 7 x4 + 50. (This is the so-called Rosen-Suzuki function.) where -10. x1 +10. and -10. x2 +10. -10. x3 +10. and ...

Customer Services We provide technical support to customers regarding the use of our interpolation method (Dirac-Monte Carlo). Due to the flexibility of our method applicable to different coordinate systems as well as high dimensionality, it would be able to satisfy the customer's requirements in di...

RANDOM Lower Dimensionality(A Sample Case, 1D) The sample function has the analytic form:f(x1) = 41.64 + 1.22 x12 + 8.33 x1 where -10. x1 +10. For this sample case, we have used 12 random locations together with the associated function values to construct the interpolant. Also, delta width value ...