2004
DOI: 10.1016/j.cagd.2003.10.001
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Constrained polynomial degree reduction in the L2-norm equals best weighted Euclidean approximation of Bézier coefficients

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Cited by 49 publications
(46 citation statements)
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“…They proved that the least squares approximation of Bézier coefficients provides the best polynomial degree reduction in the L 2 -norm. Two interesting generalizations of this result were achieved by Ahn et al in [2] and by Ait-Haddou in [3]. Ahn et al in [2] showed that a weighted least squares approximation of Bézier coefficients provides the best constrained polynomial degree reduction in the L 2 -norm.…”
Section: Introductionmentioning
confidence: 89%
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“…They proved that the least squares approximation of Bézier coefficients provides the best polynomial degree reduction in the L 2 -norm. Two interesting generalizations of this result were achieved by Ahn et al in [2] and by Ait-Haddou in [3]. Ahn et al in [2] showed that a weighted least squares approximation of Bézier coefficients provides the best constrained polynomial degree reduction in the L 2 -norm.…”
Section: Introductionmentioning
confidence: 89%
“…Two interesting generalizations of this result were achieved by Ahn et al in [2] and by Ait-Haddou in [3]. Ahn et al in [2] showed that a weighted least squares approximation of Bézier coefficients provides the best constrained polynomial degree reduction in the L 2 -norm. By constrained we understand that the original polynomial and its reduced-degree approximation match at the boundaries up to a specific continuity order.…”
Section: Introductionmentioning
confidence: 89%
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“…However, when using the Bézier method to describe complex shapes, the problem of smooth joining still needs to be solved. The problem of continuity has also been studied in the literature when considering the degree reduction of Bézier curves with boundary constraints [14,15]. In general, the higher the requirement for smoothness is, the more complex the smooth joining condition is.…”
Section: Introductionmentioning
confidence: 99%
“…al. in [1], and discrete cases have been studied in [2], [8]. The existing methods to find degree reduction have many issues including accumulate round-off errors, stability issues, complexity, accuracy, losing conjugacy, requiring the search direction to be set to the steepest descent direction frequently, experiencing ill-conditioned systems, leading to a singularity, and the most challenging difficulty is in applying the methods (difficulty and indirect).…”
Section: Introductionmentioning
confidence: 99%