An Adaptive Fourier Filter for Relaxing Time Stepping Constraints for Explicit Solvers... Conference Paper June, 2015
Big Data and Deep data in scanning and electron microscopies: functionality from multidimensional data sets... Journal May, 2015
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