
doi: 10.1137/0729082
Within the theory of spline functions, there is always great interest in divided differences, since they provide one possibility to define \(B\)- splines, i.e. splines with minimal support. In the paper under consideration, which is part of the author's doctoral thesis, a new type of generalization of the univariate divided differences to the multivariate case is given. The definition of the multivariate divided difference is done via a pointwise evaluation of a suitable function of \(s\) vector variables. Furthermore, several interesting properties of the multivariate divided differences are derived, a new generalization of truncated power functions is given, and a link with simplex splines is established.
Spline approximation, spline functions, \(B\)-splines, Multidimensional problems, simplex splines, multivariate divided difference, Numerical computation using splines
Spline approximation, spline functions, \(B\)-splines, Multidimensional problems, simplex splines, multivariate divided difference, Numerical computation using splines
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