11 citations · 11 across the 3 of their papers we have counts for
3 papers
math.NA2024
The random timestep Euler method and its continuous dynamics
Jonas Latz
ODE solvers with randomly sampled timestep sizes appear in the context of chaotic dynamical systems, differential equations with low regularity, and, implicitly, in stochastic opti…
stat.CO2023
Nested Sampling for Uncertainty Quantification and Rare Event Estimation
Jonas Latz, Doris Schneider, Philipp Wacker
Nested Sampling is a method for computing the Bayesian evidence, also called the marginal likelihood, which is the integral of the likelihood with respect to the prior. More genera…
math.NA2023★ 11 cited
Can Physics-Informed Neural Networks beat the Finite Element Method?
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz +1
Partial differential equations play a fundamental role in the mathematical modelling of many processes and systems in physical, biological and other sciences. To simulate such proc…