Minimal Numerical Differentiation Formulas
Abstract
We investigate numerical differentiation formulas on irregular centers in two or more variables that are exact for polynomials of a given order and minimize an absolute seminorm of the weight vector. Error bounds are given in terms of a growth function that carries the information about the geometry of the centers. Specific forms of weighted 1 and weighted least squares minimization are proposed that produce numerical differentiation formulas with particularly good performance in numerical experiments.
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