One Can Hear the Composition of a String: Experiments with an Inverse Eigenvalue Problem. - Steven J. Cox; Mark Embree; Jeffrey M. Hokanson (SIAM Rev., 2012)

Projected Nonlinear Least Squares for Exponential Fitting. - Jeffrey M. Hokanson (SIAM J. Sci. Comput., 2017)

Data-Driven Polynomial Ridge Approximation Using Variable Projection. - Jeffrey M. Hokanson; Paul G. Constantine (SIAM J. Sci. Comput., 2018)

The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction. - Jeffrey M. Hokanson; Paul G. Constantine (CoRR, 2019)

A Numerical Investigation of the Minimum Width of a Neural Network. - Ibrohim Nosirov; Jeffrey M. Hokanson (CoRR, 2019)

Multivariate Rational Approximation Using a Stabilized Sanathanan-Koerner Iteration. - Jeffrey M. Hokanson (CoRR, 2020)

A Data-Driven McMillan Degree Lower Bound. - Jeffrey M. Hokanson (SIAM J. Sci. Comput., 2020)

ℋ2-Optimal Model Reduction Using Projected Nonlinear Least Squares. - Jeffrey M. Hokanson; Caleb C. Magruder (SIAM J. Sci. Comput., 2020)

A Lipschitz Matrix for Parameter Reduction in Computational Science. - Jeffrey M. Hokanson; Paul G. Constantine (SIAM J. Sci. Comput., 2021)

An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition. - Kazuki Maeda; Thiago Teixeira; Jonathan M. Wang; Jeffrey M. Hokanson; Caetano Melone; Mario Di Renzo; Steve Jones; Javier Urzay; Gianluca Iaccarino (CoRR, 2022)

Simultaneous Identification and Denoising of Dynamical Systems. - Jeffrey M. Hokanson; Gianluca Iaccarino; Alireza Doostan (SIAM J. Sci. Comput., 2023)