Spectral convergence of the generalized polynomial chaos reduced model obtained from the uncertain linear Boltzmann equation
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Publication:1998074
DOI10.1016/j.matcom.2020.04.009OpenAlexW3016113967MaRDI QIDQ1998074
Publication date: 6 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2020.04.009
transportmodel reductionuncertainty quantificationgeneralized polynomial chaosBoltzmannMonte-Carlo solver
Related Items (4)
Efficient uncertain \(k_{\mathrm{eff}}\) computations with the Monte Carlo resolution of generalised polynomial chaos based reduced models ⋮ Efficient uncertainty propagation for photonics: combining implicit semi-analog Monte Carlo (ISMC) and Monte Carlo generalised polynomial chaos (MC-gPC) ⋮ Numerical Analysis of the Monte-Carlo Noise for the Resolution of the Deterministic and Uncertain Linear Boltzmann Equation (Comparison of Non-Intrusive gPC and MC-gPC) ⋮ Multigroup-like MC resolution of generalised polynomial chaos reduced models of the uncertain linear Boltzmann equation (+discussion on hybrid intrusive/non-intrusive uncertainty propagation)
Uses Software
Cites Work
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