黄金枝

发布时间：2026-03-22浏览次数：2723

  • 1、On inner iterations of Jacobi-Davidson type methods for large SVD computations, SIAM Journal on Scientific Computing, SCI, 2019, Jinzhi Huang, Zhongxiao Jia, 41 (3), pp. A1574–A1603
  • 2、On choices of formulations of computing the generalized singular value decomposition of a large matrix pair, Numerical Algorithms, SCI, 2021, Jinzhi Huang, Zhongxiao Jia, 87, pp. 689–718
  • 3、Two harmonic Jacobi–Davidson methods for computing a partial generalized singular value decomposition of a large matrix pair,Journal of Scientific Computing, SCI, 2022, Jinzhi Huang, Zhongxiao Jia, 93 (41), 29 pages
  • 4、A cross-product free Jacobi–Davidson type method for computing a partial generalized singular value decomposition of a large matrix pair, Journal of Scientific Computing, SCI, 2023, Jinzhi Huang, Zhongxiao Jia, 94 (3), 32 pages
  • 5、A skew-symmetric Lanczos bidiagonalization method for computing several extremal eigenpairs of a large skew-symmetric matrix, SIAM Journal on Matrix Analysis and Applications, SCI, 2024, Jinzhi Huang, Zhongxiao Jia, 45 (2), pp. 1114-1147
  • 6、Refined and refined harmonic Jacobi–Davidson methods for computing several GSVD components of a large regular matrix pair, Numerical Algorithms, SCI, 2025, Jinzhi Huang, Zhongxiao Jia, 99, pp. 895-920
  • 7、A generalized skew-symmetric Lanczos bidiagonalization method for computing several extreme eigenpairs of a large skew-symmetric/symmetric positive definite matrix pair, Numerical Algorithms, SCI, 2026, Jinzhi Huang, 38 pages