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Tucker Hartland
ORCID
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 8
Top Topics
Point Spread Function
Bayesian Inference
Gibbs Sampler
Blurred Images
Top Venues
CoRR
J. Comput. Appl. Math.
Appl. Math. Comput.
Axioms
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Publications
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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) (2024)
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) (2024)
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
(2023)
Tucker Hartland
,
Ravi Shankar
A Strong Maximum Principle for Nonlinear Nonlocal Diffusion Equations.
Axioms
12 (11) (2023)
Kim Liegeois
,
Mauro Perego
,
Tucker Hartland
PyAlbany: A Python interface to the C++ multiphysics solver Albany.
J. Comput. Appl. Math.
425 (2023)
Nick Alger
,
Tucker Hartland
,
Noemi Petra
,
Omar Ghattas
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels.
CoRR
(2023)
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
(2022)
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 (2015)