Trigonometric transform splitting methods for real symmetric Toeplitz systems. - Zhongyun Liu; Nianci Wu; Xiaorong Qin; Yulin Zhang (Comput. Math. Appl., 2018)

Projected randomized Kaczmarz methods. - Nianci Wu; Hua Xiang 002 (J. Comput. Appl. Math., 2020)

Semiconvergence analysis of the randomized row iterative method and its extended variants. - Nianci Wu; Hua Xiang 002 (Numer. Linear Algebra Appl., 2021)

On the relaxed greedy deterministic row and column iterative methods. - Nian-Ci Wu; Lingxia Cui; Qian Zuo (Appl. Math. Comput., 2022)

On the extended randomized multiple row method for solving linear least-squares problems. - Nian-Ci Wu; Cheng-Zhi Liu 001; Yatian Wang; Qian Zuo (CoRR, 2022)

On the Kaczmarz methods based on relaxed greedy selection for solving matrix equation AXB=C. - Nian-Ci Wu; Cheng-Zhi Liu 001; Qian Zuo (J. Comput. Appl. Math., 2022)

On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C. - Nian-Ci Wu; Yang Zhou; Zhaolu Tian (CoRR, 2023)

On the alternating randomized block Kaczmarz method. - Nian-Ci Wu; Yang Zhou; Zhaolu Tian (CoRR, 2023)

Randomized progressive iterative approximation for B-spline curve and surface fittings. - Nian-Ci Wu; Cheng-Zhi Liu 001 (Appl. Math. Comput., 2024)

Two novel iterative approaches for improved LSPIA convergence. - Chengzhi Liu 001; Nian-Ci Wu; Juncheng Li 004; Lijuan Hu (Comput. Aided Geom. Des., 2024)

Asynchronous progressive iterative approximation method for least squares fitting. - Nian-Ci Wu; Chengzhi Liu 001 (Comput. Aided Geom. Des., 2024)

On the parameterized two-step iteration method for solving the matrix equation AXB = C. - Zhaolu Tian; Yudong Wang 004; Nian-Ci Wu; Zhongyun Liu (Appl. Math. Comput., 2024)

On the Polyak momentum variants of the greedy deterministic single and multiple row-action methods. - Nian-Ci Wu; Qian Zuo; Yatian Wang (Numer. Linear Algebra Appl., 2024)

The parameterized accelerated iteration method for solving the matrix equation AXB=C. - Zhaolu Tian; Xuefeng Duan; Nian-Ci Wu; Zhongyun Liu (Numer. Algorithms, 2024)

Two accelerated residual-based iterative methods and their convergence analyses. - Ai-Qing Tan; Nian-Ci Wu; Chengzhi Liu 001 (Appl. Math. Lett., 2025)

A generalized Nyström method with subspace iteration for low-rank approximations of large-scale nonsymmetric matrices. - Yatian Wang; Nian-Ci Wu; Yuqiu Liu; Hua Xiang 002 (Appl. Math. Lett., 2025)

On the triple-parameter least squares progressive iterative approximation and its convergence analysis. - Nian-Ci Wu; Chengzhi Liu 001; Juncheng Li 004 (Comput. Aided Geom. Des., 2025)