Using parameters to increase smoothness of curves and surfaces generated by subdivision
Computer Aided Geometric Design
Multivariate refinement equations and convergence of subdivision schemes
SIAM Journal on Mathematical Analysis
Vector cascade algorithms and refinable function vectors in Sobolev spaces
Journal of Approximation Theory
Approximation by GP box-splines on a four-direction mesh
Journal of Computational and Applied Mathematics
Polynomial reproduction by symmetric subdivision schemes
Journal of Approximation Theory
Stationary and nonstationary affine combination of subdivision masks
Mathematics and Computers in Simulation
A 4-point interpolatory subdivision scheme for curve design
Computer Aided Geometric Design
Polynomial reproduction of multivariate scalar subdivision schemes
Journal of Computational and Applied Mathematics
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We study scalar d-variate subdivision schemes, with dilation matrix 2I, satisfying the sum rules of order k. Using the results of Moller and Sauer, stated for general expanding dilation matrices, we characterize the structure of the mask symbols of such schemes by showing that they must be linear combinations of shifted box spline generators of some polynomial ideal. The directions of the corresponding box splines are columns of certain unimodular matrices. The ideal is determined by the given order of the sum rules or, equivalently, by the order of the zero conditions. The results presented in this paper open a way to a systematic study of subdivision schemes, since box spline subdivisions turn out to be the building blocks of any reasonable multivariate subdivision scheme. As in the univariate case, the characterization we give is the proper way of matching the smoothness of the box spline building blocks with the order of polynomial reproduction of the corresponding subdivision scheme. However, due to the interaction of the building blocks, convergence and smoothness properties may change, if several convergent schemes are combined. The results are illustrated with several examples.