Interpolation and approximation of 3-D and 4-D scattered data

摘要: Abstract Given a set of 3-D or 4-D scattered data, methods are presented that yield bivariate trivariate function interpolate approximate the given data. The subroutine package includes Hardy's multiquadric interpolant and multistage with many options available to user, thus several different interpolation approximation can be generated. in effectively used if data is noisy, rapidly varying nonuniformly distributed. computational storage requirements for linear number points, they efficient on large sets.