In this article, we propose a reduced basis method for parametrized
non-...
Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo method that
...
We numerically investigate an adaptive version of the parareal algorithm...
We introduce a new stochastic algorithm to locate the index-1 saddle poi...
Molecular systems often remain trapped for long times around some local
...
A systematic procedure for optimising the friction coefficient in underd...
The main focus of this article is to provide a mathematical study of the...
In the last decades, free energy biasing methods have proven to be power...
We illustrate how the Hill relation and the notion of quasi-stationary
d...
A modification of the Adaptive Biasing Force method is introduced, in wh...
We propose new Markov Chain Monte Carlo algorithms to sample probability...
The parareal algorithm is known to allow for a significant reduction in ...
We investigate the application of the Adaptive Multilevel Splitting algo...