2014
DOI: 10.1090/s0025-5718-2014-02908-6
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Optimal $N$-term approximation by linear splines over anisotropic Delaunay triangulations

Abstract: Abstract. Anisotropic triangulations provide efficient geometrical methods for sparse representations of bivariate functions from discrete data, in particular from image data. In previous work, we have proposed a locally adaptive method for efficient image approximation, called adaptive thinning, which relies on linear splines over anisotropic Delaunay triangulations. In this paper, we prove asymptotically optimal N -term approximation rates for linear splines over anisotropic Delaunay triangulations, where ou… Show more

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Cited by 6 publications
(7 citation statements)
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“…Proof: Let us first remark that the asymptotic N -term approximation (4) can also be found in our previous work [6]. Nevertheless, it is quite instructive to recall the construction of T N from [6]. This is done in three steps as follows.…”
Section: A Approximation Of Horizon Functionsmentioning
confidence: 86%
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“…Proof: Let us first remark that the asymptotic N -term approximation (4) can also be found in our previous work [6]. Nevertheless, it is quite instructive to recall the construction of T N from [6]. This is done in three steps as follows.…”
Section: A Approximation Of Horizon Functionsmentioning
confidence: 86%
“…to obtain the desired triangulation T N (see [6]), which in turn yields the unique linear spline interpolant f N ∈ S T N to f with…”
Section: A Approximation Of Horizon Functionsmentioning
confidence: 99%
See 3 more Smart Citations