Adjoint-accelerated statistical and deterministic inversion of atmospheric contaminant transport

DOI10.1016/j.compfluid.2014.05.021zbMath1390.86012OpenAlexW2003887382MaRDI QIDQ1641495

Ian Tobasco, Devina P. Sanjaya, Krzysztof J. Fidkowski

Publication date: 19 June 2018

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2014.05.021

zbMATH Keywords

inverse problemsMarkov chain Monte CarloBayesian inferenceadjoint method

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Geostatistics (86A32) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)

Cites Work

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• Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems
• A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information
• Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models
• Monte Carlo sampling methods using Markov chains and their applications

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