Jerrad Hampton

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 9

Top Topics

Finite Element Model

Sampling Strategies

Stochastic Model

Top Venues

J. Comput. Phys.

Math. Comput. Simul.

Publications

Santiago Badia, Jerrad Hampton, Javier Principe
A massively parallel implementation of multilevel Monte Carlo for finite element models. Math. Comput. Simul. 213 (2023)
Felix Newberry, Jerrad Hampton, Kenneth E. Jansen, Alireza Doostan
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification. CoRR (2021)
Santiago Badia, Jerrad Hampton, Javier Principe
A Massively Parallel Implementation of Multilevel Monte Carlo for Finite Element Models. CoRR (2021)
Subhayan De, Jerrad Hampton, Kurt Maute, Alireza Doostan
Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach. CoRR (2019)
Santiago Badia, Jerrad Hampton, Javier Principe
Embedded multilevel Monte Carlo for uncertainty quantification in random domains. CoRR (2019)
Jerrad Hampton, Hillary R. Fairbanks, Akil Narayan, Alireza Doostan
Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction. J. Comput. Phys. 368 (2018)
Jerrad Hampton, Alireza Doostan
Basis adaptive sample efficient polynomial chaos (BASE-PC). J. Comput. Phys. 371 (2018)
Ji Peng, Jerrad Hampton, Alireza Doostan
-minimization. J. Comput. Phys. 310 (2016)
Jerrad Hampton, Alireza Doostan
Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies. J. Comput. Phys. 280 (2015)
Ji Peng, Jerrad Hampton, Alireza Doostan
-minimization approach for sparse polynomial chaos expansions. J. Comput. Phys. 267 (2014)