activity
20192023
most citedThe joint bidiagonalization process with partial reorthogonalization

9 citations · 21 across the 5 of their papers we have counts for

collaborators

6 papers

math.NA2023

A preconditioned Krylov subspace method for linear inverse problems with general-form Tikhonov regularization

Haibo Li

Tikhonov regularization is a widely used technique in solving inverse problems that can enforce prior properties on the desired solution. In this paper, we propose a Krylov subspac…

math.NA2023

The joint bidiagonalization of a matrix pair with inaccurate inner iterations

Haibo Li

The joint bidiagonalization (JBD) process iteratively reduces a matrix pair to two bidiagonal forms simultaneously, which can be used for computing a partial generalized…

math.NA2022

Backward error analysis of the Lanczos bidiagonalization with reorthogonalization

Haibo Li, Guangming Tan, Tong Zhao

The -step Lanczos bidiagonalization reduces a matrix into a bidiagonal form while generates two orthonormal matri…

math.NA2022★ 5 cited

Double precision is not necessary for LSQR for solving discrete linear ill-posed problems

Haibo Li

The growing availability and usage of low precision foating point formats has attracts many interests of developing lower or mixed precision algorithms for scientific computing pro…

math.NA2020★ 9 cited

The joint bidiagonalization process with partial reorthogonalization

Zhongxiao Jia, Haibo Li

The joint bidiagonalization(JBD) process is a useful algorithm for the computation of the generalized singular value decomposition(GSVD) of a matrix pair. However, it always suffer…

math.NA2019★ 7 cited

The joint bidiagonalization method for large GSVD computations in finite precision

Zhongxiao Jia, Haibo Li

The joint bidiagonalization (JBD) method has been used to compute some extreme generalized singular values and vectors of a large regular matrix pair , where we propose th…