Jeffrey T. Borggaard
Affiliations: | Virginia Polytechnic Institute and State University, Blacksburg, VA, United States |
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MathematicsGoogle:
"Jeffrey Borggaard"
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Publications
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| Borggaard J, Glatt-Holtz N, Krometis J. (2020) On Bayesian consistency for flows observed through a passive scalar Annals of Applied Probability. 30: 1762-1783 |
| Borggaard J, Glatt-Holtz NE, Krometis JA. (2020) A Bayesian Approach to Estimating Background Flows from a Passive Scalar Siam/Asa Journal On Uncertainty Quantification. 8: 1036-1060 |
| Benosman M, Borggaard J. (2019) Robust nonlinear state estimation for a class of infinite-dimensional systems using reduced-order models International Journal of Control. 1-12 |
| Borggaard J, Glatt-Holtz NE, Krometis J. (2019) GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs Journal of Computational Physics. 391: 142-154 |
| Akhtar I, Borggaard JT, Burns J. (2018) Computing Functional Gains for Designing More Energy-Efficient Buildings Using a Model Reduction Framework Fluids. 3: 97 |
| Rodriguez AC, Gugercin S, Borggaard J. (2018) Interpolatory Model Reduction of Parameterized Bilinear Dynamical Systems Advances in Computational Mathematics. 44: 1887-1916 |
| Benosman M, Borggaard J, San O, et al. (2017) Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations Applied Mathematical Modelling. 49: 162-181 |
| Ayed SB, Kim D, Borggaard JT, et al. (2016) Optimal control of indoor-air cooling in buildings using a reduced order model Energy. 116: 1191-1204 |
| Borggaard J, Wang Z, Zietsman L. (2016) A goal-oriented reduced-order modeling approach for nonlinear systems Computers & Mathematics With Applications. 71: 2155-2169 |
| Borggaard J, Wyk Hv. (2015) Gradient-based estimation of uncertain parameters for elliptic partial differential equations Inverse Problems. 31: 65008 |