Uncertainty quantification by geometric characterization of sensitivity spaces

DOI10.1016/j.cma.2014.07.021zbMath1425.65058OpenAlexW2046290537MaRDI QIDQ1668754

Bijan Mohammadi

Publication date: 29 August 2018

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2014.07.021

zbMATH Keywords

parallelismworst-case analysisrobust designuncertainty quantificationvalue at risknon-intrusive

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Orthogonalization in numerical linear algebra (65F25)

Related Items (4)

Controlling first four moments for robust optimization ⋮ Uncertainty quantification in littoral erosion ⋮ Ensemble Kalman filters and geometric characterization of sensitivity spaces for uncertainty quantification in optimization ⋮ Parallel reverse time integration and reduced order models

Uses Software

• TAPENADE
• NSC2KE

Cites Work

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• S<scp>HAPE</scp> O<scp>PTIMIZATION IN</scp> F<scp>LUID</scp> M<scp>ECHANICS</scp>

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