DFO-GN

DFO-GN: Derivative-Free Nonlinear Least-Squares Solver. DFO-GN is a package for solving nonlinear least-squares minimisation, without requiring derivatives of the objective. This is an implementation of the algorithm from our paper: A Derivative-Free Gauss-Newton Method, C. Cartis and L. Roberts, Mathematical Programming Computation (2019). For reproducibility of all figures in this paper, please feel free to contact the authors.

Keywords for this software

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References in zbMATH (referenced in 5 articles , 1 standard article )

Showing results 1 to 5 of 5.
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  1. Birgin, E. G.; Martínez, J. M.: Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients (2022)
  2. Ehrhardt, Matthias J.; Roberts, Lindon: Inexact derivative-free optimization for bilevel learning (2021)
  3. Cartis, Coralia; Roberts, Lindon: A derivative-free Gauss-Newton method (2019)
  4. Larson, Jeffrey; Menickelly, Matt; Wild, Stefan M.: Derivative-free optimization methods (2019)
  5. C. Cartis; L. Roberts: A Derivative-Free Gauss-Newton Method (2017) arXiv