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• W4200499315 abstract "This paper suggests a new limited memory trust region algorithm for large unconstrained black box least squares problems, called LMLS. Main features of LMLS are a new non-monotone technique, a new adaptive radius strategy, a new Broyden-like algorithm based on the previous good points, and a heuristic estimation for the Jacobian matrix in a subspace with random basis indices. Our numerical results show that LMLS is robust and efficient, especially in comparison with solvers using traditional limited memory and standard quasi-Newton approximations." @default.
• W4200499315 created "2021-12-31" @default.
• W4200499315 creator A5055137763 @default.
• W4200499315 creator A5071039515 @default.
• W4200499315 date "2021-12-13" @default.
• W4200499315 modified "2023-09-30" @default.
• W4200499315 title "A new limited memory method for unconstrained nonlinear least squares" @default.
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• W4200499315 doi "https://doi.org/10.1007/s00500-021-06415-8" @default.
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