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Approximation by truncated max-product operators of Kantorovich-type based on generalized (phi, psi)-kernels

机译:基于广义(PHI,PSI) - knernels的Kantorovich型截断的MAX-Productorators近似

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摘要

Suggested by the max-product sampling operators based on sinc-Fejer kernels, in this paper, we introduce truncated max-product Kantorovich operators based on generalized type kernels depending on two functions phi and psi satisfying a set of suitable conditions. Pointwise convergence, quantitative uniform convergence in terms of the moduli of continuity, and quantitative L-p-approximation results in terms of a K-functional are obtained. Previous results in sampling and neural network approximation are recaptured, and new results for many concrete examples are obtained.
机译:本文基于SINC-FEJER内核的MAX-Product采样操作员建议,我们根据广义型核引入截断的MAX-Product Kantorovich运算符,具体取决于PHI和PSI的一组合适条件。 点亮,在连续性模型方面,定量均匀收敛,并获得了k官能的定量L-p近似值。 先前的结果,采样和神经网络近似被重新求予,并且获得了许多具体示例的新结果。

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