On preconditioned modified Newton-MHSS method for systems of nonlinear equations with complex symmetric jacobian matrices. - Hong-Xiu Zhong; Guoliang Chen 002; Xue-Ping Guo (Numer. Algorithms, 2015)

Convergence studies on block iterative algorithms for image reconstruction. - Xue-Ping Guo (Appl. Math. Comput., 2016)

Multi-step modified Newton-HSS methods for systems of nonlinear equations with positive definite Jacobian matrices. - Yang Li; Xue-Ping Guo (Numer. Algorithms, 2017)

On the accelerated modified Newton-HSS method for systems of nonlinear equations. - Ya-Min Li; Xue-Ping Guo (Numer. Algorithms, 2018)

MN-DPMHSS iteration method for systems of nonlinear equations with block two-by-two complex Jacobian matrices. - Jing Wang; Xue-Ping Guo; Hong-Xiu Zhong (Numer. Algorithms, 2018)

A modified ASOR-like method for augmented linear systems. - Ting-Ting Feng; Xue-Ping Guo; Guoliang Chen 002 (Numer. Algorithms, 2019)

Optimal accelerated SOR-like (ASOR) method for singular symmetric saddle point problems. - Xue-Ping Guo; Apostolos Hadjidimos (J. Comput. Appl. Math., 2020)

A new parameter-free method for Toeplitz systems of weakly nonlinear equations. - Meng-Jiao Jiang; Xue-Ping Guo (J. Comput. Appl. Math., 2021)

On multi-step greedy randomized coordinate descent method for solving large linear least-squares problems. - Long-Ze Tan; Xue-Ping Guo (Comput. Appl. Math., 2023)

On the adaptive deterministic block coordinate descent methods with momentum for solving large linear least-squares problems. - Long-Ze Tan; Mingyu Deng; Jia-Li Qiu; Xue-Ping Guo (CoRR, 2024)