Zhongxiao Jia - researchr alias

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Viewing Publication 1 - 35 from 35

2024

An Augmented Matrix-Based CJ-FEAST SVDsolver for Computing a Partial Singular Value Decomposition with the Singular Values in a Given IntervalZhongxiao Jia, Kailiang Zhang. siammax, 45(1):24-58, March 2024. [doi]

2023

A Cross-Product Free Jacobi-Davidson Type Method for Computing a Partial Generalized Singular Value Decomposition of a Large Matrix PairJinzhi Huang, Zhongxiao Jia. jscic, 94(1):3, 2023. [doi]

A FEAST SVDsolver Based on Chebyshev-Jackson Series for Computing Partial Singular Triplets of Large MatricesZhongxiao Jia, Kailiang Zhang. jscic, 97(1):21, October 2023. [doi]

The Joint Bidiagonalization Method for Large GSVD Computations in Finite PrecisionZhongxiao Jia, Haibo Li. siammax, 44(1):382-407, March 2023. [doi]

2022

Two Harmonic Jacobi-Davidson Methods for Computing a Partial Generalized Singular Value Decomposition of a Large Matrix PairJinzhi Huang, Zhongxiao Jia. jscic, 93(2):41, 2022. [doi]

Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue ProblemsZhongxiao Jia. siammax, 43(2):584-604, 2022. [doi]

2021

On choices of formulations of computing the generalized singular value decomposition of a large matrix pairJinzhi Huang, Zhongxiao Jia. na, 87(2):689-718, 2021. [doi]

The Convergence of the Generalized Lanczos Trust-Region Method for the Trust-Region SubproblemZhongxiao Jia, Fa Wang. siamjo, 31(1):887-914, 2021. [doi]

The joint bidiagonalization process with partial reorthogonalizationZhongxiao Jia, Haibo Li. na, 88(2):965-992, 2021. [doi]

2020

Approximation accuracy of the Krylov subspaces for linear discrete ill-posed problemsZhongxiao Jia. jcam, 374:112786, 2020. [doi]

Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDsZhongxiao Jia. na, 85(4):1281-1310, 2020. [doi]

2019

On Inner Iterations of Jacobi-Davidson Type Methods for Large SVD ComputationsJinzhi Huang, Zhongxiao Jia. siamsc, 41(3), 2019. [doi]

A transformation approach that makes SPAI, PSAI and RSAI procedures efficient for large double irregular nonsymmetric sparse linear systemsZhongxiao Jia, Wenjie Kang. jcam, 348:200-213, 2019. [doi]

2017

On regularizing effects of MINRES and MR-II for large scale symmetric discrete ill-posed problemsYi Huang, Zhongxiao Jia. jcam, 320:145-163, 2017. [doi]

A residual based sparse approximate inverse preconditioning procedure for large sparse linear systemsZhongxiao Jia, Wenjie Kang. nla, 24(2), 2017. [doi]

2015

Harmonic and refined harmonic shift-invert residual Arnoldi and Jacobi-Davidson methods for interior eigenvalue problemsZhongxiao Jia, Cen Li. jcam, 282:83-97, 2015. [doi]

A positivity preserving inexact Noda iteration for computing the smallest eigenpair of a large irreducible \(M\) -matrixZhongxiao Jia, Wen-Wei Lin, Ching-Sung Liu. nm, 130(4):645-679, 2015. [doi]

A posteriori error estimates of krylov subspace approximations to matrix functionsZhongxiao Jia, Hui Lv. na, 69(1):1-28, 2015. [doi]

2013

On the condition number of the total least squares problemZhongxiao Jia, Bingyu Li. nm, 125(1):61-87, 2013. [doi]

An Approach to Making SPAI and PSAI Preconditioning Effective for Large Irregular Sparse Linear SystemsZhongxiao Jia, Qian Zhang. siamsc, 35(4), 2013. [doi]

2012

On convergence of the inexact Rayleigh quotient iteration with MINRESZhongxiao Jia. jcam, 236(17):4276-4295, 2012. [doi]

2011

The Rayleigh-Ritz method, refinement and Arnoldi process for periodic matrix pairsEric King-Wah Chu, Hung-Yuan Fan, Zhongxiao Jia, Tie-xiang Li, Wen-Wei Lin. jcam, 235(8):2626-2639, 2011. [doi]

2010

A global harmonic Arnoldi method for large non-Hermitian eigenproblems with an application to multiple eigenvalue problemsCongying Duan, Zhongxiao Jia. jcam, 234(3):845-860, 2010. [doi]

Some properties of LSQR for large sparse linear least squares problemsZhongxiao Jia. jossac, 23(4):815-821, 2010. [doi]

Applications of the Conjugate Gradient method in optimal surface parameterizationsZhongxiao Jia. ijcm, 87(5):1032-1039, 2010. [doi]

A Refined Harmonic Lanczos Bidiagonalization Method and an Implicitly Restarted Algorithm for Computing the Smallest Singular Triplets of Large MatricesZhongxiao Jia, Datian Niu. siamsc, 32(2):714-744, 2010. [doi]

2009

A power sparse approximate inverse preconditioning procedure for large sparse linear systemsZhongxiao Jia, Baochen Zhu. nla, 16(4):259-299, 2009. [doi]

2006

Using cross-product matrices to compute the SVDZhongxiao Jia. na, 42(1):31-61, 2006. [doi]

2005

A refined harmonic Rayleigh-Ritz procedure and an explicitly restarted refined harmonic Arnoldi algorithmGuizhi Chen, Zhongxiao Jia. mcm, 41(6-7):615-627, 2005. [doi]

The convergence of harmonic Ritz values, harmonic Ritz vectors and refined harmonic Ritz vectorsZhongxiao Jia. moc, 74(251):1441-1456, 2005. [doi]

2003

An Implicitly Restarted Refined Bidiagonalization Lanczos Method for Computing a Partial Singular Value DecompositionZhongxiao Jia, Datian Niu. siammax, 25(1):246-265, 2003. [doi]

2001

An analysis of the Rayleigh--Ritz method for approximating eigenspacesZhongxiao Jia, G. W. Stewart. moc, 70(234):637-647, 2001.

1998

Generalized block Lanczos methods for large unsymmetric eigenproblemsZhongxiao Jia. nm, 80(2):239-266, 1998. [doi]

1996

q): The Incomplete Orthogonalization Method for Large Unsymmetric Linear SystemsZhongxiao Jia. nla, 3(6):491-512, 1996. [doi]

1995

The Convergence of Generalized Lanczos Methods for Large Unsymmetric EigenproblemsZhongxiao Jia. siammax, 16(3):843-862, 1995. [doi]

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