A geometric Gauss-Newton method for least squares inverse eigenvalue problems

DOI10.1007/s10543-019-00798-9zbMath1452.65072arXiv1806.06327OpenAlexW2998959417MaRDI QIDQ2192604

Zhi Zhao, Teng-Teng Yao, Zheng-Jian Bai, Xiao-qing Jin

Publication date: 17 August 2020

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.06327

zbMATH Keywords

eigenvalue problempreconditionergeometric Gauss-Newton methodparameterized least squares inverse problem

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Eigenvalues, singular values, and eigenvectors (15A18) Numerical solutions to inverse eigenvalue problems (65F18) Implicit function theorems; global Newton methods on manifolds (58C15)

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