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On Approximation by Max-product Shepard Operators

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Abstract

In the present paper, we firstly give Jackson type estimates of approximation by max-product Shepard operators on \([-1,1]\), which combine pointwise and global estimates as a whole. Secondly, we investigate the weighted approximation by modified max-product Shepard operator for functions with singularities at the endpoints. Finally, we generalize max-product Shepard operators to the bounded convex set \(\mathbf \Omega \) on the scattered data, and obtain Jackson type estimates of approximation.

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Funding

The work is partially supported by Zhejiang Provincial Natural Science Foundation (LR19F020005), The National Key Research and Development Program of China (2018YFB0104503), National Natural Science Foundation of China (NSFC61602404, NSFC12271133) and Fundamental Research Funds for the Central Universities (2018FZA5014).

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Correspondence to Dansheng Yu.

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Yu, D. On Approximation by Max-product Shepard Operators. Results Math 77, 219 (2022). https://doi.org/10.1007/s00025-022-01746-w

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