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- Zhongxiao Jia, Datian Niu
- SIAM J. Scientific Computing
- 2010

The harmonic Lanczos bidiagonalization method can be used to compute the smallest singular triplets of a large matrix A. We prove that for good enough projection subspaces harmonic Ritz values converge if the columns of A are strongly linearly independent. On the other hand, harmonic Ritz values may miss some desired singular values when the columns of A… (More)

- Zhongxiao Jia, Baochen Zhu
- Numerical Lin. Alg. with Applic.
- 2009

- Zhongxiao Jia, G. W. Stewart
- Math. Comput.
- 2001

This paper concerns the Rayleigh–Ritz method for computing an approximation to an eigenspace X of a general matrix A from a subspace W that contains an approximation to X. The method produces a pair (N, ˜ X) that purports to approximate a pair (L, X), where X is a basis for X and AX = XL. In this paper we consider the convergence of (N, ˜ X) as the sine of… (More)

- Zhongxiao Jia, Datian Niu
- SIAM J. Matrix Analysis Applications
- 2003

- Zhongxiao Jia
- Math. Comput.
- 2005

This paper concerns a harmonic projection method for computing an approximation to an eigenpair (λ, x) of a large matrix A. Given a target point τ and a subspace W that contains an approximation to x, the harmonic projection method returns an approximation (µ + τ, ˜ x) to (λ, x). Three convergence results are established as the deviation of x from W… (More)

- Zhongxiao Jia, Qian Zhang
- SIAM J. Scientific Computing
- 2013

We investigate the SPAI and PSAI preconditioning procedures and shed light on two important features of them: (i) For the large linear system Ax = b with A irregular sparse, i.e., with A having s relatively dense columns, SPAI may be very costly to implement, and the resulting sparse approximate inverses may be ineffective for preconditioning. PSAI can be… (More)

- Zhongxiao Jia, Yuquan Sun
- 2011

To implicitly restart the second-order Arnoldi (SOAR) method proposed by Bai and Su for the quadratic eigenvalue problem (QEP), it appears that the SOAR procedure must be replaced by a modified SOAR (MSOAR) one. However, implicit restarts fails to work provided that deflation takes place in the MSOAR procedure. In this paper, we first propose a Refined… (More)

- Zhongxiao Jia, Ludwig Elsnery
- 2007

The Ritz vectors obtained by Arnoldi's method may not be good approximations and even may not converge even if the corresponding Ritz values do. In order to improve the quality of Ritz vectors and enhance the eeciency of Arnoldi type algorithms, we propose a strategy that uses Ritz values obtained from an m-dimensional Krylov subspace but chooses modiied… (More)

- Zhongxiao Jia, Wenjie Kang
- Numerical Lin. Alg. with Applic.
- 2017

The SPAI algorithm, a sparse approximate inverse preconditioning technique for large sparse linear systems, proposed by Grote and Huckle [SIAM J. Sci. Com-put., 18 (1997), pp. 838–853.], is based on the F-norm minimization and computes a sparse approximate inverse M of a large sparse matrix A adaptively. However , SPAI may be costly to seek the most… (More)

- Zhongxiao Jia
- SIAM J. Matrix Analysis Applications
- 1995