In this chapter, we are concerned with the problem of multivariate data interpolation. The main focus lies on the concept of minimizing a quadratic form which, in practice, emerges from a physical model, subject to the interpolation constraints. The approach is a natural extension of the one-dimensional polynomial spline interpolation. Besides giving a basic outline of the mathematical framework, we design a fast numerical scheme and analyze the performance quality. We finally show that optimal interpolation is closely related to standard linear stochastic estimation methods.
CITATION STYLE
Werther, T. (2005). Optimal Multivariate Interpolation. In Mathematics in Industry (Vol. 7, pp. 389–407). Springer Medizin. https://doi.org/10.1007/3-540-26493-0_12
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