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ORCIDTucker Hartland
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2020 – today
- 2024
[j5]Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer, Noemi Petra:
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models. Adv. Comput. Math. 50(4): 65 (2024)- [j4]Nick Alger, Tucker Hartland, Noemi Petra
, Omar Ghattas:
Point Spread Function Approximation of High-Rank Hessians with Locally Supported Nonnegative Integral Kernels. SIAM J. Sci. Comput. 46(3): 1658- (2024) - [i4]Tucker Hartland, Cosmin G. Petra, Noemi Petra, Jingyi Wang:
A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints. CoRR abs/2410.14918 (2024) - 2023
- [j3]Tucker Hartland, Ravi Shankar:
A Strong Maximum Principle for Nonlinear Nonlocal Diffusion Equations. Axioms 12(11): 1059 (2023) - [j2]Kim Liegeois, Mauro Perego, Tucker Hartland:
PyAlbany: A Python interface to the C++ multiphysics solver Albany. J. Comput. Appl. Math. 425: 115037 (2023) - [i3]Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra:
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. CoRR abs/2301.03644 (2023) - [i2]Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas:
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels. CoRR abs/2307.03349 (2023) - 2022
- [i1]Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer, Noémi Petra:
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models. CoRR abs/2212.03366 (2022)
2010 – 2019
- 2015
- [j1]Ravi Shankar, Yan Sheng, Megan Golbek, Tucker Hartland, Peter Gerrodette, Sergei A. Fomin, Vladimir A. Chugunov:
Linear long wave propagation over discontinuous submerged shallow water topography. Appl. Math. Comput. 252: 27-44 (2015)
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