13 citations
- American Institute of Aeronautics and AstronauticsUS1 paper
- Austrian Institute of TechnologyAT1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Graz University of TechnologyAT1 paper
- Institut de Mathématiques de BordeauxFR1 paper
- Johannes Gutenberg University MainzDE1 paper
- Jönköping UniversitySE1 paper
- KU LeuvenBE1 paper
- Lund UniversitySE1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Norwegian University of Science and TechnologyNO1 paper
- NXP (Germany)DE1 paper
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math.NA2026
Stability of the Active Flux Method in the Framework of Summation-by-Parts Operators
Wasilij Barsukow, Christian Klingenberg, Lisa Lechner +3
The Active Flux method is a numerical method for conservation laws using a combination of cell averages and point values as independent degrees of freedom, based on ideas from fini…
math.NA2026
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization
Jan Glaubitz, Youssef Marzouk
We introduce an approach for efficient Markov chain Monte Carlo (MCMC) sampling for challenging high-dimensional distributions in sparse Bayesian learning (SBL). The core innovatio…