Surface construction based on variational principles
An international conference on curves and surfaces on Wavelets, images, and surface fitting
Almost sure convergence of smoothing Dm-splines for noisy data
Numerische Mathematik
Approximation by discrete variational splines
Journal of Computational and Applied Mathematics
Piecewise Quadratic Approximations on Triangles
ACM Transactions on Mathematical Software (TOMS)
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
Filling polygonal holes with minimal energy surfaces on Powell-Sabin type triangulations
Journal of Computational and Applied Mathematics
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
Hole filling on surfaces by discrete variational splines
Applied Numerical Mathematics
Applied Numerical Mathematics
Mathematics and Computers in Simulation
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In this paper we present a method to obtain an explicit surface on a polygonal domain D which approximates a Lagrangian data set and minimizes a certain ''energy functional''. The minimization space is the C^1-quadratic spline space constructed from an @a-triangulation over D and its Powell-Sabin subtriangulation, i.e., we obtain a C^1-polynomial with the minimal possible degree. A convergence result is established and some numerical and graphical examples are analyzed.