Surface fitting and software to scattered data are concerned.Some efficient algorithms are presented for interpolating and smoothing scattered data on two and three-dimensional domains by splines.The methods can be extended to any multi-dimensional cases and are easily performed on a computer by solving a symmetric linear algebraic system coefficient matrix,order of which is dependent on the number of the data and independent of the dimension of variables.The programs executing the algorithms are designed with Delphi 3^0.The software can output values on any points of the three-dimensional graph of the surface.Some numerical examples (graphs) illustrate the effectiveness of the software.

The method in computational fluid dynamics requires the periodic remapping of conservation quantities such as mass, momentum, and energy from old or distorted meshes to some other arbitrarily defined meshes. This is a type of interpolation procedure, which is usually constrained to be conservative and monotone. A type of remapping algorithms using spline-approximating methods are presented for numerical simulation codes applied to unstructured or adaptive meshes.