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John Jakeman
John Jakeman
Principal Member of Technical Staff, Sandia National Laboratories
在 sandia.gov 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's …
BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
1697*2020
The future of sensitivity analysis: an essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
3002021
Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection
JD Jakeman, MS Eldred, K Sargsyan
Journal of Computational Physics 289, 18-34, 2015
1992015
Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose
JHA Guillaume, JD Jakeman, S Marsili-Libelli, M Asher, P Brunner, ...
Environmental Modelling & Software 119, 418-432, 2019
1552019
Adaptive Leja sparse grid constructions for stochastic collocation and high-dimensional approximation
A Narayan, JD Jakeman
SIAM Journal on Scientific Computing 36 (6), A2952-A2983, 2014
1412014
A generalized approximate control variate framework for multifidelity uncertainty quantification
AA Gorodetsky, G Geraci, MS Eldred, JD Jakeman
Journal of Computational Physics 408, 109257, 2020
1342020
Numerical approach for quantification of epistemic uncertainty
J Jakeman, M Eldred, D Xiu
Journal of Computational Physics 229 (12), 4648-4663, 2010
1322010
A survey of constrained Gaussian process regression: Approaches and implementation challenges
LP Swiler, M Gulian, AL Frankel, C Safta, JD Jakeman
Journal of Machine Learning for Modeling and Computing 1 (2), 2020
1242020
A Christoffel function weighted least squares algorithm for collocation approximations
A Narayan, J Jakeman, T Zhou
Mathematics of Computation 86 (306), 1913-1947, 2017
972017
Polynomial chaos expansions for dependent random variables
JD Jakeman, F Franzelin, A Narayan, M Eldred, D Plfüger
Computer Methods in Applied Mechanics and Engineering 351, 643-666, 2019
882019
Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids
JD Jakeman, R Archibald, D Xiu
Journal of Computational Physics 230 (10), 3977-3997, 2011
832011
Local and dimension adaptive stochastic collocation for uncertainty quantification
JD Jakeman, SG Roberts
Sparse grids and applications, 181-203, 2012
81*2012
A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions
JD Jakeman, A Narayan, T Zhou
SIAM Journal on Scientific Computing 39 (3), A1114-A1144, 2017
802017
Minimal multi-element stochastic collocation for uncertainty quantification of discontinuous functions
JD Jakeman, A Narayan, D Xiu
Journal of Computational Physics 242, 790-808, 2013
702013
Modeling water quality in watersheds: From here to the next generation
B Fu, JS Horsburgh, AJ Jakeman, C Gualtieri, T Arnold, L Marshall, ...
Water Resources Research 56 (11), e2020WR027721, 2020
692020
Combining push-forward measures and Bayes' rule to construct consistent solutions to stochastic inverse problems
T Butler, J Jakeman, T Wildey
SIAM Journal on Scientific Computing 40 (2), A984-A1011, 2018
68*2018
Non-destructive simulation of node defects in additively manufactured lattice structures
B Lozanovski, D Downing, R Tino, A du Plessis, P Tran, J Jakeman, ...
Additive Manufacturing 36, 101593, 2020
602020
Data-driven learning of nonautonomous systems
T Qin, Z Chen, JD Jakeman, D Xiu
SIAM Journal on Scientific Computing 43 (3), A1607-A1624, 2021
532021
Adaptive multi‐index collocation for uncertainty quantification and sensitivity analysis
JD Jakeman, MS Eldred, G Geraci, A Gorodetsky
International Journal for Numerical Methods in Engineering 121 (6), 1314-1343, 2020
532020
Local polynomial chaos expansion for linear differential equations with high dimensional random inputs
Y Chen, J Jakeman, C Gittelson, D Xiu
SIAM Journal on Scientific Computing 37 (1), A79-A102, 2015
492015
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