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Joshua Lee Padgett
Joshua Lee Padgett
Lead Data Scientist, Toyota Financial Services
Verified email at toyota.com - Homepage
Title
Cited by
Cited by
Year
Numerical solution of degenerate stochastic Kawarada equations via a semi-discretized approach
JL Padgett, Q Sheng
Applied Mathematics and Computation 325, 210-226, 2018
222018
Anomalous diffusion in one-dimensional disordered systems: a discrete fractional Laplacian method
JL Padgett, EG Kostadinova, CD Liaw, K Busse, LS Matthews, TW Hyde
Journal of Physics A: Mathematical and Theoretical 53 (13), 135205, 2020
17*2020
Convergence of an operator splitting scheme for abstract stochastic evolution equations
JL Padgett, Q Sheng
Advances in mathematical methods and high performance computing, 163-179, 2019
152019
The quenching of solutions to time–space fractional Kawarada problems
JL Padgett
Computers & Mathematics with Applications 76 (7), 1583-1592, 2018
142018
On the positivity, monotonicity, and stability of a semi-adaptive LOD method for solving three-dimensional degenerate Kawarada equations
JL Padgett, Q Sheng
Journal of Mathematical Analysis and Applications 439 (2), 465-480, 2016
122016
Nonuniform Crank‐Nicolson scheme for solving the stochastic Kawarada equation via arbitrary grids
JL Padgett, Q Sheng
Numerical Methods for Partial Differential Equations 33 (4), 1305-1328, 2017
112017
Strong -error analysis of nonlinear Monte Carlo approximations for high-dimensional semilinear partial differential equations
M Hutzenthaler, A Jentzen, B Kuckuck, JL Padgett
arXiv preprint arXiv:2110.08297, 2021
92021
Delocalization in infinite disordered two-dimensional lattices of different geometry
EG Kostadinova, K Busse, N Ellis, J Padgett, CD Liaw, LS Matthews, ...
Physical Review B 96 (23), 235408, 2017
92017
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz …
J Ackermann, A Jentzen, T Kruse, B Kuckuck, JL Padgett
arXiv preprint arXiv:2309.13722, 2023
72023
Numerical study of anomalous diffusion of light in semicrystalline polymer structures
EG Kostadinova, JL Padgett, CD Liaw, LS Matthews, TW Hyde
Physical Review Research 2 (4), 043375, 2020
72020
On the stability of a variable step exponential splitting method for solving multidimensional quenching-combustion equations
JL Padgett, Q Sheng
Modern Mathematical Methods and High Performance Computing in Science and …, 2016
72016
Fractional Laplacian spectral approach to turbulence in a dusty plasma monolayer
EG Kostadinova, R Banka, JL Padgett, CD Liaw, LS Matthews, TW Hyde
Physics of Plasmas 28 (7), 2021
62021
Analysis of an approximation to a fractional extension problem
JL Padgett
BIT Numerical Mathematics 60 (3), 715-739, 2020
42020
A variable nonlinear splitting algorithm for reaction diffusion systems with self‐and cross‐diffusion
MA Beauregard, JL Padgett
Numerical Methods for Partial Differential Equations 35 (2), 597-614, 2019
42019
Object classification in analytical chemistry via data‐driven discovery of partial differential equations
JL Padgett, Y Geldiyev, S Gautam, W Peng, Y Mechref, A Ibraguimov
Computational and Mathematical Methods 3 (4), e1164, 2021
32021
A nonlinear splitting algorithm for systems of partial differential equations with self-diffusion
MA Beauregard, J Padgett, R Parshad
Journal of Computational and Applied Mathematics 321, 8-25, 2017
32017
Intrinsic properties of strongly continuous fractional semigroups in normed vector spaces
TF Jones, JL Padgett, Q Sheng
From Operator Theory to Orthogonal Polynomials, Combinatorics, and Number …, 2021
22021
Active turbulence in a dusty plasma monolayer
EG Kostadinova, R Banka, JL Padgett, CD Liaw, LS Matthews, TW Hyde
arXiv e-prints, arXiv: 2102.09344, 2021
12021
A series representation of the discrete fractional Laplace operator of arbitrary order
TF Jones, EG Kostadinova, JL Padgett, Q Sheng
arXiv preprint arXiv:2101.03629, 2021
12021
Anomalous diffusion in semi-crystalline polymer structures
EG Kostadinova, JL Padgett, CD Liaw, LS Matthews, TW Hyde
arXiv e-prints, arXiv: 2006.01068, 2020
12020
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