3 papers
stat.ME2025
Recursive Adaptive Importance Sampling with Optimal Replenishment
Daniel Würzler Barreto, Mevin B. Hooten
Increased access to computing resources has led to the development of algorithms that can run efficiently on multi-core processing units or in distributed computing environments. I…
cond-mat.soft2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Marc Fransen, Andreas Fürst, Deepak Tunuguntla +21
Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights…
math.NA2023
New Weighting Strategies for WENO Schemes
Daniel Barreto, Rafael B. de R. Borges, Bruno Costa +1
In this article, we propose a modified convex combination of the polynomial reconstructions of odd-order WENO schemes to maintain the central substencil prevalence over the lateral…