research
∙
04/18/2023
Machine Learning Methods for Autonomous Ordinary Differential Equations
Ordinary Differential Equations are generally too complex to be solved a...
share
research
∙
08/16/2021
Uniformly accurate schemes for oscillatory stochastic differential equations
In this work, we adapt the micro-macro methodology to stochastic differe...
research
∙
03/23/2021
Majorant series for the N-body problem
As a follow-up of a previous work of the authors, this work considers un...
research
∙
01/11/2021
On symmetric-conjugate composition methods in the numerical integration of differential equations
We analyze composition methods with complex coefficients exhibiting the ...
research
∙
05/26/2020
Compositions of pseudo-symmetric integrators with complex coefficients for the numerical integration of differential equations
In this paper, we are concerned with the construction and analysis of a ...
research
∙
05/26/2020
Uniformly accurate numerical schemes for a class of dissipative systems
We consider a class of relaxation problems mixing slow and fast variatio...
research
∙
07/10/2019
