On choices of formulations of computing the generalized singular value decomposition of a matrix pair. - Jinzhi Huang; Zhongxiao Jia (CoRR, 2019)

On Inner Iterations of Jacobi-Davidson Type Methods for Large SVD Computations. - Jinzhi Huang; Zhongxiao Jia (SIAM J. Sci. Comput., 2019)

A cross-product free Jacobi-Davidson type method for computing a partial generalized singular value decomposition (GSVD) of a large matrix pair. - Jinzhi Huang; Zhongxiao Jia (CoRR, 2020)

On choices of formulations of computing the generalized singular value decomposition of a large matrix pair. - Jinzhi Huang; Zhongxiao Jia (Numer. Algorithms, 2021)

A skew-symmetric Lanczos bidiagonalization method for computing several largest eigenpairs of a large skew-symmetric matrix. - Jinzhi Huang; Zhongxiao Jia (CoRR, 2022)

Two Harmonic Jacobi-Davidson Methods for Computing a Partial Generalized Singular Value Decomposition of a Large Matrix Pair. - Jinzhi Huang; Zhongxiao Jia (J. Sci. Comput., 2022)

A Cross-Product Free Jacobi-Davidson Type Method for Computing a Partial Generalized Singular Value Decomposition of a Large Matrix Pair. - Jinzhi Huang; Zhongxiao Jia (J. Sci. Comput., 2023)

Preconditioning correction equations in Jacobi-Davidson type methods for computing partial singular value decompositions of large matrices. - Jinzhi Huang; Zhongxiao Jia (CoRR, 2024)

A generalized skew-symmetric Lanczos bidiagonalization method for computing several extreme eigenpairs of a large skew-symmetric/symmetric positive definite matrix pair. - Jinzhi Huang (CoRR, 2024)

A Skew-Symmetric Lanczos Bidiagonalization Method for Computing Several Extremal Eigenpairs of a Large Skew-Symmetric Matrix. - Jinzhi Huang; Zhongxiao Jia (SIAM J. Matrix Anal. Appl., 2024)

Refined and refined harmonic Jacobi-Davidson methods for computing several GSVD components of a large regular matrix pair. - Jinzhi Huang; Zhongxiao Jia (Numer. Algorithms, 2025)