102 citations · 219 across the 18 of their papers we have counts for
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math.NA2013★ 19 cited
Inverse problems and uncertainty quantification
Alexander Litvinenko, Hermann G. Matthies
In a Bayesian setting, inverse problems and uncertainty quantification (UQ) - the propagation of uncertainty through a computational (forward) model - are strongly connected. In th…
math.NA2013★ 36 cited
To be or not to be intrusive? The solution of parametric and stochastic equations - the "plain vanilla" Galerkin case
Loïc Giraldi, Alexander Litvinenko, Dishi Liu +2
In parametric equations - stochastic equations are a special case - one may want to approximate the solution such that it is easy to evaluate its dependence of the parameters. Inte…