Hybrid cubic Be´zier triangle patches
Mathematical methods in computer aided geometric design II
Local derivative estimation for scattered data interpolation
Applied Mathematics and Computation
Range restricted scattered data interpolation using convex combination of cubic Bézier triangles
Journal of Computational and Applied Mathematics
Elementary Numerical Analysis: An Algorithmic Approach
Elementary Numerical Analysis: An Algorithmic Approach
Scattered Data Techniques for Surfaces
DAGSTUHL '97 Proceedings of the Conference on Scientific Visualization
Positivity-preserving interpolation of positive data by rational cubics
Journal of Computational and Applied Mathematics
C1 positive scattered data interpolation
Computers & Mathematics with Applications
Nonnegativity preserving macro-element interpolation of scattered data
Computer Aided Geometric Design
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The construction of a C1 interpolant to scattered data is considered in which the interpolant is positive everywhere if the original data are positive. This study is motivated by earlier work in which sufficient conditions are derived on Bézier points in order to ensure that surfaces comprising cubic Bézier triangular patches are always positive. In the current work, simpler and more relaxed conditions are derived on the Bézier points. The gradients at the data sites are then calculated to ensure that these conditions are satisfied. Each triangular patch of the interpolating surface is formed as a convex combination of three cubic Bézier triangular patches. Its construction is local. A number of examples are presented.