Models of fluid flow: turbulence and uncertainty quantification, Sandia National Laboratories,
February 2011.
M. Gunzburger, A. Labovsky, An efficient and accurate numerical method for high-dimensional
stochastic PDEs, submitted to SIAM Journal of Scientific Computing, undergoes revision.
A. Labovsky, C. Trenchea, A family of Approximate Deconvolution Models for MagnetoHydroDynamic
Turbulence, Numerical Functional Analysis and Optimization, vol.31(12), pp.1362-1385,
2010.
M. Gunzburger, A. Labovsky, Effects of Approximate Deconvolution Models on the Solution
of the Stochastic Navier-Stokes Equations, Journal of Computational Mathematics, vol.
29, pp. 131-140, 2011.
Presentations
Effects of Approximate Deconvolution Models on the Solution of the Stochastic Navier-Stokes
Equations, Conference on Uncertainty Quantification, Edinburgh, Scotland, May 2010.
Models of fluid flow: turbulence and uncertainty quantification, Sandia National Laboratories,
February 2011.
