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 2 downloads @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},
doi = {10.1088/1361-6471/abd009},
number = {2},
pages = {024001},
volume = {48},
aurl = {https://arxiv.org/abs/2010.05668},
journal = {Journal of Physics G: Nuclear and Particle Physics},
year = {2021},
}
Downloads: 2
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