| A near-stationary subspace for ridge approximation PG Constantine, A Eftekhari, J Hokanson, RA Ward Computer Methods in Applied Mechanics and Engineering 326, 402-421, 2017 | 63 | 2017 |
| Data-driven polynomial ridge approximation using variable projection JM Hokanson, PG Constantine SIAM Journal on Scientific Computing 40 (3), A1566-A1589, 2018 | 53 | 2018 |
| One can hear the composition of a string: experiments with an inverse eigenvalue problem SJ Cox, M Embree, JM Hokanson SIAM Review 54 (1), 157-178, 2012 | 47 | 2012 |
| Numerically stable and statistically efficient algorithms for large scale exponential fitting J Hokanson Rice University, 2013 | 23 | 2013 |
| Projected nonlinear least squares for exponential fitting JM Hokanson SIAM Journal on Scientific Computing 39 (6), A3107-A3128, 2017 | 16 | 2017 |
| -Optimal Model Reduction Using Projected Nonlinear Least Squares JM Hokanson, CC Magruder SIAM Journal on Scientific Computing 42 (6), A4017-A4045, 2020 | 15 | 2020 |
| Least squares rational approximation JM Hokanson, CC Magruder arXiv preprint arXiv:1811.12590, 2018 | 14 | 2018 |
| Multivariate rational approximation using a stabilized sanathanan-koerner iteration JM Hokanson arXiv preprint arXiv:2009.10803, 2020 | 8 | 2020 |
| Simultaneous identification and denoising of dynamical systems JM Hokanson, G Iaccarino, A Doostan SIAM Journal on Scientific Computing 45 (4), A1413-A1437, 2023 | 6 | 2023 |
| Regularizing invertible neural networks for airfoil design through dimension reduction A Glaws, J Hokanson, R King, G Vijayakumar AIAA SCITECH 2022 Forum, 1098, 2022 | 5 | 2022 |
| An integrated heterogeneous computing framework for ensemble simulations of laser-induced ignition K Maeda, T Teixeira, JM Wang, J Hokanson, C Melone, M Di Renzo, ... AIAA AVIATION 2023 Forum, 3597, 2023 | 4 | 2023 |
| A data-driven McMillan degree lower bound JM Hokanson SIAM Journal on Scientific Computing 42 (5), A3447-A3461, 2020 | 4 | 2020 |
| A Lipschitz matrix for parameter reduction in computational science JM Hokanson, PG Constantine SIAM Journal on Scientific Computing 43 (3), A1858-A1880, 2021 | 3 | 2021 |
| A Numerical Investigation of the Minimum Width of a Neural Network I Nosirov, JM Hokanson arXiv preprint arXiv:1910.13817, 2019 | 1 | 2019 |
| The lipschitz matrix: A tool for parameter space dimension reduction JM Hokanson, PG Constantine arXiv preprint arXiv:1906.00105, 2019 | 1 | 2019 |
| A task-based parallel framework for ensemble simulations of rocket ignition K Maeda, M Di Renzo, T Teixeira, J Wang, J Hokanson, C Melone, ... APS Division of Fluid Dynamics Meeting Abstracts, A20. 003, 2021 | | 2021 |
| Ridge approximation and dimension reduction for an acoustic scattering model PG Constantine, JM Hokanson, DP Kouri 2018 International Applied Computational Electromagnetics Society Symposium …, 2018 | | 2018 |
| Ridge approximation and dimension reduction for an acoustic scattering model. DP Kouri, PG Constantine, JM Hokanson Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | | 2017 |
| Magnetic damping of an elastic conductor JM Hokanson Rice University, 2009 | | 2009 |
| The Life Cycle of an Eigenvalue Problem M Embree, J Hokanson, C Puelz Householder Symposium XIX June 8-13, Spa Belgium, 73, 0 | | |
Paul G. ConstantineAssistant Professor of Computer Science, University of Colorado BoulderVerified email at colorado.edu
