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Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet.

, , , and . J. Comput. Phys., (2015)

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Discontinuous Galerkin methods for plasma physics in the scrape-off layer of tokamaks., , , and . J. Comput. Phys., (2014)Recursive Algorithms for Distributed Forests of Octrees., , , and . SIAM J. Sci. Comput., (2015)An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle., , , , , , , , , and . SC, page 5:1-5:12. ACM, (2015)Support for Non-conformal Meshes in PETSc's DMPlex Interface., and . CoRR, (2015)Low-Cost Parallel Algorithms for 2: 1 Octree Balance., , and . IPDPS, page 426-437. IEEE Computer Society, (2012)Recursive, parameter-free, explicitly defined interpolation nodes for simplices.. CoRR, (2020)Evaluation of a minimally synchronous algorithm for 2: 1 octree balance., and . SC, page 23. IEEE/ACM, (2020)Robust expected information gain for optimal Bayesian experimental design using ambiguity sets., and . UAI, volume 180 of Proceedings of Machine Learning Research, page 728-737. PMLR, (2022)Extreme-Scale AMR., , , , , , and . SC, page 1-12. IEEE, (2010)Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet., , , and . J. Comput. Phys., (2015)