Groundwater flow in heterogeneous composite aquifers

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A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008, unknown): “We mention, among others, the Spectral Galerkin method [3, 4, 16, 20, 22, 25, 27, 36], Stochastic Collocation [5, 24, 29, 35], perturbation methods or Neumann expansions [1, 17,30,34].”
Perspective on theories of non-Fickian transport in heterogeneous media (2009, background): “Published attempts [13] to overcome the stationarity limitation by applying CTRW piecewise to ‘‘stationary” segments of a heterogeneous formation is ad hoc and inconsistent with the fact that, in any such finite segment, the velocity becomes nonstationary due to continuity conditions that have to be”
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007, unknown): “as a function of countably many independent random variables; nonlinear transformations also have been used in [43, 60]).”
Sparse grid collocation schemes for stochastic natural convection problems (2007, methodology): “The random domain decomposition method [4] [5] [6] [7] coupled with the MDE method has been shown to be successful in solving complex fluid flow problems in porous media having large input variances.”