On the computation of measure-valued solutions

US Fjordholm, S Mishra, E Tadmor - Acta numerica, 2016 - cambridge.org
A standard paradigm for the existence of solutions in fluid dynamics is based on the
construction of sequences of approximate solutions or approximate minimizers. This …

Uncertainty quantification for hyperbolic systems of conservation laws

R Abgrall, S Mishra - Handbook of numerical analysis, 2017 - Elsevier
We review uncertainty quantification (UQ) for hyperbolic systems of conservation (balance)
laws. The input uncertainty could be in the initial data, fluxes, coefficients, source terms or …

A Continuation Multi Level Monte Carlo (C-MLMC) method for uncertainty quantification in compressible inviscid aerodynamics

M Pisaroni, F Nobile, P Leyland - Computer Methods in Applied Mechanics …, 2017 - Elsevier
In this work we apply the Continuation Multi-Level Monte Carlo (C-MLMC) algorithm
proposed in Collier et al.(2014) to efficiently propagate operating and geometric …

[HTML][HTML] Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification

R Crisovan, D Torlo, R Abgrall, S Tokareva - Journal of computational and …, 2019 - Elsevier
In this work, we present a model order reduction (MOR) technique for hyperbolic
conservation laws with applications in uncertainty quantification (UQ). The problem consists …

A stochastic Galerkin method for first-order quasilinear hyperbolic systems with uncertainty

K Wu, H Tang, D Xiu - Journal of Computational Physics, 2017 - Elsevier
This paper is concerned with generalized polynomial chaos (gPC) approximation for first-
order quasilinear hyperbolic systems with uncertainty. The one-dimensional (1D) hyperbolic …

A Stochastic Galerkin Method for Hamilton--Jacobi Equations with Uncertainty

J Hu, S Jin, D Xiu - SIAM Journal on Scientific Computing, 2015 - SIAM
We develop a class of stochastic numerical schemes for Hamilton--Jacobi equations with
random inputs in initial data and/or the Hamiltonians. Since the gradient of the Hamilton …

Sensitivity equation method for the Navier‐Stokes equations applied to uncertainty propagation

C Fiorini, B Després, MA Puscas - International Journal for …, 2021 - Wiley Online Library
This works deals with sensitivity analysis (SA) for the Navier‐Stokes equations. The aim is to
provide an estimate of the variance of the velocity field when some of the parameters are …

Weighted essentially non-oscillatory stochastic galerkin approximation for hyperbolic conservation laws

L Schlachter, F Schneider, O Kolb - Journal of Computational Physics, 2020 - Elsevier
In this paper we extensively study the stochastic Galerkin scheme for uncertain systems of
conservation laws, which appears to produce oscillations already for a simple example of …

[PDF][PDF] An operator splitting based stochastic Galerkin method for the one-dimensional compressible Euler equations with uncertainty

A Chertock, S Jin, A Kurganov - preprint, 2015 - math.umd.edu
We introduce an operator splitting based stochastic Galerkin method for the one-
dimensional compressible Euler equations with random inputs. The method uses a …

Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach

A Barth, R Bürger, I Kroeker, C Rohde - Computers & Chemical …, 2016 - Elsevier
Continuous sedimentation processes in a clarifier-thickener unit can be described by a
scalar nonlinear conservation law whose flux density function is discontinuous with respect …