Optimization and Supervised Machine Learning Methods for Fitting Numerical Physics Models without Derivatives

Raghu Bollapragada, Matt Menickelly, Witold Nazarewicz +3

We address the calibration of a computationally expensive nuclear physics model for which derivative information with respect to the fit parameters is not readily available. Of par…