Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
Affine-scaling for linear programs with free variables
Mathematical Programming: Series A and B
Scattered data interpolation in three or more variables
Mathematical methods in computer aided geometric design
Bernstein-Be´zier polynomials on spheres and sphere-like surfaces
Computer Aided Geometric Design
Fitting scattered data on sphere-like surfaces using spherical splines
Journal of Computational and Applied Mathematics - Special issue on scattered data
Fitting Monotone Surfaces to Scattered Data Using C1 Piecewise Cubics
SIAM Journal on Numerical Analysis
Scattered data fitting on the sphere
Proceedings of the international conference on Mathematical methods for curves and surfaces II Lillehammer, 1997
A Multiresolution Tensor Spline Method for Fitting Functions on the Sphere
SIAM Journal on Scientific Computing
Computer Aided Geometric Design
Shape-preserving, multiscale interpolation by bi- and multivariate cubic L1 splines
Computer Aided Geometric Design
Surface Reconstruction via L1-Minimization
Numerical Analysis and Its Applications
Surface Reconstruction and Image Enhancement via $L^1$-Minimization
SIAM Journal on Scientific Computing
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We investigate C^1-smooth bivariate curvature-based cubic L"1 interpolating splines in spherical coordinates. The coefficients of these splines are calculated by minimizing an integral involving the L"1 norm of univariate curvature in four directions at each point on the unit sphere. We compare these curvature-based cubic L"1 splines with analogous cubic L"2 interpolating splines calculated by minimizing an integral involving the square of the L"2 norm of univariate curvature in the same four directions at each point. For two sets of irregular data on an equilateral tetrahedron with protuberances on the faces, we compare these two types of curvature-based splines with each other and with cubic L"1 and L"2 splines calculated by minimizing the L"1 norm and the square of the L"2 norm, respectively, of second derivatives. Curvature-based cubic L"1 splines preserve the shape of irregular data well, better than curvature-based cubic L"2 splines and than second-derivative-based cubic L"1 and L"2 splines. Second-derivative-based cubic L"2 splines preserve shape poorly. Variants of curvature-based L"1 and L"2 splines in spherical and general curvilinear coordinate systems are outlined.