Jeffrey M. Hokanson

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2023 J jnl
Simultaneous Identification and Denoising of Dynamical Systems.
SIAM J. Sci. Comput.
Jeffrey M. Hokanson, Gianluca Iaccarino, Alireza Doostan
2022 J jnl
An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition.
CoRR
Kazuki Maeda, Thiago Teixeira, Jonathan M. Wang, Jeffrey M. Hokanson, Caetano Melone, Mario Di Renzo, Steve Jones, Javier Urzay, Gianluca Iaccarino
2022 J jnl
Simultaneous Identification and Denoising of Dynamical Systems.
CoRR
Jeffrey M. Hokanson, Gianluca Iaccarino, Alireza Doostan
2021 J jnl
A Lipschitz Matrix for Parameter Reduction in Computational Science.
SIAM J. Sci. Comput.
Jeffrey M. Hokanson, Paul G. Constantine
2020 J jnl
A Data-Driven McMillan Degree Lower Bound.
SIAM J. Sci. Comput.
Jeffrey M. Hokanson
2020 J jnl
Multivariate Rational Approximation Using a Stabilized Sanathanan-Koerner Iteration.
CoRR
Jeffrey M. Hokanson
2020 J jnl
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SIAM J. Sci. Comput.
Jeffrey M. Hokanson, Caleb C. Magruder
2019 J jnl
A Numerical Investigation of the Minimum Width of a Neural Network.
CoRR
Ibrohim Nosirov, Jeffrey M. Hokanson
2019 J jnl
The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction.
CoRR
Jeffrey M. Hokanson, Paul G. Constantine
2018 J jnl
Data-Driven Polynomial Ridge Approximation Using Variable Projection.
SIAM J. Sci. Comput.
Jeffrey M. Hokanson, Paul G. Constantine
2017 J jnl
Projected Nonlinear Least Squares for Exponential Fitting.
SIAM J. Sci. Comput.
Jeffrey M. Hokanson
2012 J jnl
One Can Hear the Composition of a String: Experiments with an Inverse Eigenvalue Problem.
SIAM Rev.
Steven J. Cox, Mark Embree, Jeffrey M. Hokanson