Image Reconstruction from Fourier Data Using Sparsity of Edges Polynomial Annihilation Sparsifying Transform... Journal December, 2014
Stochastic finite element methods for partial differential equations with random input data... Journal July, 2014
Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling... Journal June, 2014
A sparse-grid method for Bayesian uncertainty quantification with application to large eddy simulation turbulence models... ORNL Report June, 2014
A convergence analysis of stochastic collocation method for Navier-Stokes equations with random input data... ORNL Report January, 2014
Error estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samples... Conference Paper November, 2013
An Adaptive Sparse-Grid High-Order Stochastic Collocation Method for Bayesian Inference in Groundwater Reactive Transport Mod... Journal October, 2013
An adaptive sparse-grid-based iterative ensemble Kalman filter approach for parameter field estimation... Journal September, 2013