
Surrogate Approximation of the GradShafranov Free Boundary Problem via Stochastic Collocation on Sparse Grids
In magnetic confinement fusion devices, the equilibrium configuration of...
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On Surrogate Learning for Linear Stability Assessment of NavierStokes Equations with Stochastic Viscosity
We study linear stability of solutions to the Navier–Stokes equations wi...
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Novel Deep neural networks for solving Bayesian statistical inverse
We consider the simulation of Bayesian statistical inverse problems gove...
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Alternating Energy Minimization Methods for Multiterm Matrix Equations
We develop computational methods for approximating the solution of a lin...
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Reducedorder modeling for nonlinear Bayesian statistical inverse problems
Bayesian statistical inverse problems are often solved with Markov chain...
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A Lowrank Solver for the Stochastic Unsteady NavierStokes Problem
We study a lowrank iterative solver for the unsteady NavierStokes equa...
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Howard C. Elman
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