Interpolatory tension splines with automatic selection of tension factors
SIAM Journal on Scientific and Statistical Computing
Applications of random sampling in computational geometry, II
Discrete & Computational Geometry - Selected papers from the fourth ACM symposium on computational geometry, Univ. of Illinois, Urbana-Champaign, June 6 8, 1988
C1 Convexity-Preserving Interpolation of Scattered Data
SIAM Journal on Scientific Computing
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Hi-index | 0.00 |
We describe a Fortran-77 software package for constructing a C1 convex surface that interpolates a convex data set consisting of data values at arbitrarily distributed points in the plane (nodes) such that there exists a triangulation of the nodes for which the triangle-based piecewise linear interpolant is convex. The method consists of constructing this data-dependent triangulation, computing a set of nodal gradients for which there exists a convex piecewise linear Hermite interpolant H of the nodal values and gradients, and applying convolution smoothing to H.