works on
forward uncertainty quantification 1high-dimensional problems 1parameter space clustering 1random differential equations 1stochastic finite volume 1

From the 1 of 1 linked paper with an AI index.

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2026

Stochastic Finite Volume Approximation with Clustering in the Parameter Space for the Forward Uncertainty Quantification of Differential Equations with Random Parameters

Zhao Zhang, Mengyao Xia, Na Ou

The paper introduces a stochastic finite volume method that uses clustering in the parameter space to efficiently perform forward uncertainty quantification for differential equati…