G-2024-82
Diagonal quasi-Newton updating methods for large-scale nonlinear least squares
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We propose some diagonal Hessian approximations of the least-squares nonlinear function. We use suitable diagonal matrices that carry some information of the quasi-Newton condition and/or the specific structure of the least-squares function. It is shown that the proposed methods perform well when used to solve a collection of standard test problems.
Paru en décembre 2024 , 10 pages
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