师资队伍

数学与统计学院教师简介——张文慧

发布时间：2024-12-02 浏览次数：10

张文慧

博士


函数逼近论；学习理论


本科生：《概率论与数理统计》



  1. W. H. Zhang*; P. X. Ye; S. Xing. Optimality of the rescaled pure greedy learning algorithms. Int. J. Wavelets, Multiresolut. Inf. Process. 2023. 21(02), 2250048.

  2. X. Xu; J. Y. Guo; P. X. Ye; W. H. Zhang*. Approximation properties of the vector weak rescaled pure greedy algorithm. Mathematics. 2023. 11. 2020.

  3. Y. J. Liu; W. T. Cheng; W. H. Zhang; P. X. Ye. Approximation properties of the blending-type Bernstein–Durrmeyer operators. Axioms. 2023. 12(5).  

  4. W. H. Zhang*; P. X. Ye; S. Xing; X. Xu. Optimality of the approximation and learning by the rescaled pure super greedy algorithms. Axioms. 2022. 11(437).

  5. B. Jiang; P. X. Ye ; W. H. Zhang. Unified error estimate for weak biorthogonal greedy algorithms. Int. J. Wavelets, Multiresolut. Inf. Process. 2022. 20, 2250010.