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Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark
Handbook of Numerical Methods for Hyperbolic Problems - Applied and Modern Issues
R. Abgrall and S. Mishra Handbook of Numerical Analysis, Handbook of Numerical Methods for Hyperbolic Problems - Applied and Modern Issues 18 507 (2017) https://doi.org/10.1016/bs.hna.2016.11.003
Uncertainty Quantification for Hyperbolic and Kinetic Equations
Rémi Abgrall and Svetlana Tokareva SEMA SIMAI Springer Series, Uncertainty Quantification for Hyperbolic and Kinetic Equations 14 1 (2017) https://doi.org/10.1007/978-3-319-67110-9_1
Uncertainty Quantification for Hyperbolic and Kinetic Equations
Siddhartha Mishra and Christoph Schwab SEMA SIMAI Springer Series, Uncertainty Quantification for Hyperbolic and Kinetic Equations 14 231 (2017) https://doi.org/10.1007/978-3-319-67110-9_7
Numerical Solution of Scalar Conservation Laws with Random Flux Functions
Siddhartha Mishra, Nils Henrik Risebro, Christoph Schwab and Svetlana Tokareva SIAM/ASA Journal on Uncertainty Quantification 4(1) 552 (2016) https://doi.org/10.1137/120896967
High Order Nonlinear Numerical Schemes for Evolutionary PDEs
Svetlana Tokareva, Christoph Schwab and Siddhartha Mishra Lecture Notes in Computational Science and Engineering, High Order Nonlinear Numerical Schemes for Evolutionary PDEs 99 109 (2014) https://doi.org/10.1007/978-3-319-05455-1_7
Uncertainty Quantification in Computational Fluid Dynamics
Siddhartha Mishra, Christoph Schwab and Jonas Šukys Lecture Notes in Computational Science and Engineering, Uncertainty Quantification in Computational Fluid Dynamics 92 225 (2013) https://doi.org/10.1007/978-3-319-00885-1_6