28 citations · 222 across the 42 of their papers we have counts for
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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
A Cross-Product Free (CPF) Jacobi-Davidson (JD) type method is proposed to compute a partial generalized singular value decomposition (GSVD) of a large regular matrix pair .…
Theoretical and Computable Optimal Subspace Expansions for Matrix Eigenvalue Problems
Zhongxiao Jia
Consider the optimal subspace expansion problem for the matrix eigenvalue problem : Which vector in the current subspace , after multiplied by , provides…
The Krylov Subspaces, Low Rank Approximations and Ritz Values of LSQR for Linear Discrete Ill-Posed Problems: the Multiple Singular Value Case
Zhongxiao Jia
For the large-scale linear discrete ill-posed problem or with contaminated by white noise, the Golub-Kahan bidiagonalization based LSQR method and its mat…
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…