activity
20132026
most citedGrand-canonical-like molecular-dynamics simulations by using an adaptive-resolution technique

84 citations · 277 across the 25 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

math-ph2021

Two-sided Bogoliubov inequality to estimate finite size effects in quantum molecular simulations

Benedikt Reible, Carsten Hartmann, Luigi Delle Site

We generalise the two-sided Bogoliubov inequality for classical particles from [L. Delle Site et al., J.Stat.Mech.Th.Exp. 083201 (2017)] to systems of quantum particles. As in the…

q-fin.PR2021

-Hypergeometric Uncertain Volatility Models and their Connection to 2BSDEs

Zaineb Mezdoud, Carsten Hartmann, Mohamed Riad Remita +1

In this article we propose a -hypergeometric model with uncertain volatility (UV) where we derive a worst-case scenario for option pricing. The approach is based on the connexio…

stat.CO2021

Choice of Damping Coefficient in Langevin Dynamics

Robert D. Skeel, Carsten Hartmann

This article considers the application of Langevin dynamics to sampling and investigates how to choose the damping parameter in Langevin dynamics for the purpose of maximizing thor…

math.OC2021

Reachability Analysis of Randomly Perturbed Hamiltonian Systems

Carsten Hartmann, Lara Neureither, Markus Strehlau

In this paper, we revisit energy-based concepts of controllability and reformulate them for control-affine nonlinear systems perturbed by white noise. Specifically, we discuss the…

math.OC2021★ 4 cited

Stochastic gradient descent and fast relaxation to thermodynamic equilibrium: a stochastic control approach

Tobias Breiten, Carsten Hartmann, Lara Neureither +1

We study the convergence to equilibrium of an underdamped Langevin equation that is controlled by a linear feedback force. Specifically, we are interested in sampling the possibly…

math.ST2021★ 4 cited

Nonasymptotic bounds for suboptimal importance sampling

Carsten Hartmann, Lorenz Richter

Importance sampling is a popular variance reduction method for Monte Carlo estimation, where a notorious question is how to design good proposal distributions. While in most cases…