Monotonicity-preserving interpolation of nongridded data Original Research Article

This paper describes a local method for the construction of differentiable functions interpolating a set of data connected in a general tensor-product topology. These functions are shape-preserving in the sense that they locally maintain the monotonicity of the data along curves “parallel” to the related coordinates lines. Error estimates and graphical examples are provided.