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王璐

职称/职务:讲师,硕士生导师

来校时间:2022年7月

E-mail:wanglu@hebtu.edu.cn

研究领域:数值线性代数

个人简介:

汉族,1995年生,中共党员,理学博士。主要研究求解大规模线性代数方程组的随机迭代算法和收敛理论,如Kaczmarz型迭代方法、Gauss-Seidel型迭代方法等。



详细介绍:

学习工作经历:

2022-07至今,澳门永利官网,yl23455永利,讲师

2017-09至2022-06,中国科学院数学与系统科学研究院,计算数学,博士

2013-09至2017-06,武汉大学,数学与应用数学,学士

教学情况:

主讲本科生专业平台课程:《C语言》、《大数据并行计算》、《矩阵计算》

基金资助情况:

大规模线性代数方程组的随机迭代算法及稳定性分析,国家自然科学基金委,青年科学基金项目,2025.01-2027.12.

获奖情况:

(1) The Applied Numerical Algebra Prize, The Eighth International Conference on Numerical Algebra and Scientific Computing (NASC 2025), Chinese Computational Mathematical Society, 2025-07.

(2) Gene Golub Memorial Workshop Best Presentation Prize, The Fourth International Workshop on Matrix Computations, 2025-04.

邀请报告情况:

(1) The Eleventh China-Russia Conference on Numerical Algebra with Applications, Changsha, 2025-07.

(2) International Conference on Matrix Analysis and its Applications, Novi Sad, Serbia, 2025-06.

(3) 第二届京津冀数学会联合学术会议, 天津, 2025-03. (分会场专题报告)

(4) The 10th International Congress on Industrial and Applied Mathematics, Tokyo, Japan, 2023-08. (分会场专题报告)

(5) The Ninth China-Russia Conference on Numerical Algebra with Applications, Nantong, 2023-08.

(6) The Fourteenth International Conference on Matrix Theory and Applications, Qingdao, 2023-07.

论文情况:

[1] L. Wang and W.-T. Wu, The equivalence of the randomized extended Gauss-Seidel and randomized extended Kaczmarz methods, Calcolo, 62:16(2025), 1-24.

[2] Z.-Z. Bai and L. Wang, On multi-step randomized extended Kaczmarz method for solving large sparse inconsistent linear systems, Applied Numerical Mathematics, 192(2023), 197-213.

[3] Z.-Z. Bai and L. Wang, On convergence rates of Kaczmarz-type methods with different selection rules of working rows, Applied Numerical Mathematics, 186(2023), 289-319.

[4] Z.-Z. Bai, L. Wang and G.V. Muratova, On relaxed greedy randomized augmented Kaczmarz methods for solving large sparse inconsistent linear systems, East Asian Journal on Applied Mathematics, 12(2022), 323-332.

[5] Z.-Z. Bai, L. Wang and W.-T. Wu, On convergence rate of the randomized Gauss-Seidel method, Linear Algebra and its Applications, 611(2021), 237-252.