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Efficient Inversion of Large-scale Problems Exploiting Structure and Randomization
Uncertainty Characterization and Modeling using Positive-definite Random Matrix Ensembles and Polynomial Chaos Expansions
Revisiting Solutions of Block Tridiagonal Systems: A Parallel Algorithms Perspective
Applications of Sparse Grids Discontinuous Galerkin Schemes
Modern Neutrino Physics in Simulations of Supernovae and Neutron Star Mergers
Neural Network Based Shock Detector for Numerical Solution of Conservation Laws
Next generation dense linear algebra provided by SLATE
Haar-Like Wavelets on Euclidean Point Sets
The polynomial-quadratic regulator problem
Hybrid Projection Methods with Recycling for Large-scale Inverse Problems
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