A Polynomial Preconditioned Global CMRH Method for Linear Systems with Multiple Right-Hand Sides. - Ke Zhang 003; Chuanqing Gu (J. Appl. Math., 2013)

A relaxed positive-definite and skew-Hermitian splitting preconditioner for saddle point problems. - Ju-Li Zhang; Chuanqing Gu; Ke Zhang 003 (Appl. Math. Comput., 2014)

Flexible global generalized Hessenberg methods for linear systems with multiple right-hand sides. - Ke Zhang 003; Chuanqing Gu (J. Comput. Appl. Math., 2014)

A two-step matrix splitting iteration for computing PageRank. - Chuanqing Gu; Fei Xie; Ke Zhang 003 (J. Comput. Appl. Math., 2015)

A new relaxed PSS preconditioner for nonsymmetric saddle point problems. - Ke Zhang 003; Ju-Li Zhang; Chuanqing Gu (Appl. Math. Comput., 2017)

Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously. - Xian-Ming Gu; Ting-Zhu Huang; Bruno Carpentieri; Akira Imakura; Ke Zhang 003; Lei Du (J. Comput. Appl. Math., 2020)

Randomized block Kaczmarz methods with k-means clustering for solving large linear systems. - Xiang-Long Jiang; Ke Zhang 003; Jun-Feng Yin (J. Comput. Appl. Math., 2022)

A Hessenberg-type algorithm for computing PageRank Problems. - Xian-Ming Gu; Siu-Long Lei; Ke Zhang 003; Zhao-Li Shen; Chun Wen; Bruno Carpentieri (Numer. Algorithms, 2022)