Computer Aided Geometric Design
Shape-preserving, multiscale fitting of univariate data by cubic L1 smoothing splines
Computer Aided Geometric Design
Computer Aided Geometric Design
An Efficient Algorithm for Generating Univariate Cubic L1 Splines
Computational Optimization and Applications
Shape-preserving properties of univariate cubic L1 splines
Journal of Computational and Applied Mathematics
A compressed primal-dual method for generating bivariate cubic L1 splines
Journal of Computational and Applied Mathematics
C1 and C2-continuous polynomial parametric Lp splines (p≥1)
Computer Aided Geometric Design
Geometric dual formulation for first-derivative-based univariate cubic L1 splines
Journal of Global Optimization
Computer Aided Geometric Design
Shape-preserving, first-derivative-based parametric and nonparametric cubic L1 spline curves
Computer Aided Geometric Design
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
Shape-preserving, multiscale interpolation by bi- and multivariate cubic L1 splines
Computer Aided Geometric Design
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In this paper, univariate cubic L 1 interpolating splines based on the first derivative and on 5-point windows are introduced. Analytical results for minimizing the local spline functional on 5-point windows are presented and, based on these results, an efficient algorithm for calculating the spline coefficients is set up. It is shown that cubic L 1 splines based on the first derivative and on 5-point windows preserve linearity of the original data and avoid extraneous oscillation. Computational examples, including comparison with first-derivative-based cubic L 1 splines calculated by a primal affine algorithm and with second-derivative-based cubic L 1 splines, show the advantages of the first-derivative-based cubic L 1 splines calculated by the new algorithm.