Computer Aided Geometric Design
A compressed primal-dual method for generating bivariate cubic L1 splines
Journal of Computational and Applied Mathematics
Bivariate variational splines with monotonicity constraints
Mathematics and Computers in Simulation
Computer Aided Geometric Design
A tension approach to controlling the shape of cubic spline surfaces on FVS triangulations
Journal of Computational and Applied Mathematics
A geometric programming approach for bivariate cubic L1 splines
Computers & Mathematics with Applications
Fast L1kCk polynomial spline interpolation algorithm with shape-preserving properties
Computer Aided Geometric Design
Visualization of monotone data by rational bi-cubic interpolation
Transactions on computational science VIII
C1monotone scattered data interpolation
Transactions on computational science VIII
Visualization of monotone data by rational bi-cubic interpolation
Transactions on computational science VIII
C1monotone scattered data interpolation
Transactions on computational science VIII
Shape-preserving, multiscale interpolation by bi- and multivariate cubic L1 splines
Computer Aided Geometric Design
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We derive sufficient conditions on the Bézier net of a Bernstein--Bézier polynomial defined on a triangle in the plane to insure that the corresponding surface is monotone. We then apply these conditions to construct a new algorithm for fitting a monotone surface to gridded data. The method uses C1 cubic splines defined on the triangulation obtained by drawing both diagonals of each subrectangle. In addition, we present an algorithm for the monotone scattered data interpolation problem which is based on a method for creating gridded data from the scattered data. Numerical results for several test examples are presented.