The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems

DOI10.1016/j.cam.2021.113971zbMath1481.65056OpenAlexW4200588912WikidataQ114201934 ScholiaQ114201934MaRDI QIDQ2068647

Teng-Teng Yao, Zhi Zhao, Xiao-qing Jin

Publication date: 20 January 2022

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113971

zbMATH Keywords

nonlinear least squares problemparameterized least squares inverse eigenvalue problemtwo-step perturbed Gauss-Newton method

Mathematics Subject Classification ID

Global differential geometry (53C99) Numerical solutions to inverse eigenvalue problems (65F18)

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