Develops a structure-preserving, entropy conservative and stable DG-SG method for stochastic shallow water equations with the well-balanced property.
Finite-volume schemes for shallow-water equations
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces a scalable Bayesian inference framework for nonlinear conservation laws using Gaussian process priors and sparse approximations, enabling accurate forward simulations with UQ and fast posterior recovery on inverse problems.
citing papers explorer
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Structure-Preserving Discontinuous Galerkin Methods for Stochastic Shallow Water Equations
Develops a structure-preserving, entropy conservative and stable DG-SG method for stochastic shallow water equations with the well-balanced property.
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Scalable Bayesian Inference for Nonlinear Conservation Laws
Introduces a scalable Bayesian inference framework for nonlinear conservation laws using Gaussian process priors and sparse approximations, enabling accurate forward simulations with UQ and fast posterior recovery on inverse problems.