Optimization and Supervised Machine Learning Methods for Fitting Numerical Physics Models without Derivatives. Bollapragada, R., Menickelly, M., Nazarewicz, W., O'Neal, J., Reinhard, P., & Wild, S. M. Journal of Physics G: Nuclear and Particle Physics, 48(2):024001, 2021.
doi  bibtex   
@Article{BMNORW2020,
  author  = {Raghu Bollapragada and Matt Menickelly and Witold Nazarewicz and Jared O'Neal and Paul-Gerhard Reinhard and Stefan M. Wild},
  title   = {Optimization and Supervised Machine Learning Methods for Fitting Numerical Physics Models without Derivatives},
  journal = {Journal of Physics G: Nuclear and Particle Physics},
  year    = {2021},
  volume  = {48},
  number  = {2},
  pages   = {024001},
  aurl    = {https://arxiv.org/abs/2010.05668},
  doi     = {10.1088/1361-6471/abd009},
}

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