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The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems Journal article
Zhao, Zhi, Jin, Xiao Qing, Yao, Teng Teng. The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems[J]. Journal of Computational and Applied Mathematics, 2022, 405, 113971.
Authors:  Zhao, Zhi;  Jin, Xiao Qing;  Yao, Teng Teng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.1 | Submit date:2022/05/13
Nonlinear Least Squares Problem  Parameterized Least Squares Inverse Eigenvalue Problem  Two-step Perturbed Gauss–newton Method