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20172026
most citedSurrogate Accelerated Bayesian Inversion for the Determination of the Thermal Diffusivity of a Material

9 citations · 14 across the 11 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

math.NA2018★ 9 cited

Surrogate Accelerated Bayesian Inversion for the Determination of the Thermal Diffusivity of a Material

James Rynn, Simon Cotter, Catherine E Powell +1

Determination of the thermal properties of a material is an important task in many scientific and engineering applications. How a material behaves when subjected to high or fluctua…

math.NA2018★ 5 cited

Robust a posteriori error estimation for stochastic Galerkin formulations of parameter-dependent linear elasticity equations

Arbaz Khan, Alex Bespalov, Catherine E. Powell +1

The focus of this work is a posteriori error estimation for stochastic Galerkin approximations of parameter-dependent linear elasticity equations. The starting point is a three-fie…

math.NA2018

Efficient adaptive multilevel stochastic Galerkin approximation using implicit a posteriori error estimation

Adam J. Crowder, Catherine E. Powell, Alex Bespalov

Partial differential equations (PDEs) with inputs that depend on infinitely many parameters pose serious theoretical and computational challenges. Sophisticated numerical algorithm…

math.NA2018

Robust preconditioning for stochastic Galerkin formulations of parameter-dependent nearly incompressible linear elasticity equations

Arbaz Khan, Catherine E. Powell, David J. Silvester

We consider the nearly incompressible linear elasticity problem with an uncertain spatially varying Young's modulus. The uncertainty is modelled with a finite set of parameters wit…

math.NA2018

Robust error estimation for lowest-order approximation of nearly incompressible elasticity

Arbaz Khan, Catherine E. Powell, David J. Silvester

We consider so-called Herrmann and Hydrostatic mixed formulations of classical linear elasticity and analyse the error associated with locally stabilised finite element a…