Recent Progress on Self-Interacting Processes and Non-Reversible Monte Carlo
Toutes les informations de la conférence sur la page de l'évènement Anthony Maggs: Large scale dynamics of non-reversible Monte Carlo algorithmsMonte Carlo simulation is a workhorse of the numerical study of physical systems at thermodynamic equilibrium. Non-reversible Monte Carlo algorithms replace the commonly used constraint of detailed balance with global balance. We give examples of situations where this leads to accelerated sampling of physical systems. We argue that the large-scale relaxation of such Event-Chain Monte Carlo methods is linked to the dynamics of the true self-avoiding walk. Francis Lörler: Event […]