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C. Hartmann

28 papers hereh-index 241.5k citations99 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author11
  • last author10

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • math.OC8
  • math-ph3
  • math.PR3
  • cond-mat.stat-mech2
  • cs.LG2
  • math.DS2
same name
  • C. Hartmann — 26 papers, h 23
  • C. Hartmann — 5 papers, h 7
  • C. Hartmann — 3 papers, h 23
  • C. Hartmann — 3 papers, h 14
  • C. Hartmann — 2 papers, h 17
  • C. Hartmann — 2 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

collaborators
Showing 2019Show all

3 papers · 1 filter

math.OC2019

Error bounds for model reduction of feedback-controlled linear stochastic dynamics on Hilbert spaces

Simon Becker, Carsten Hartmann, Martin Redmann +1

We analyze structure-preserving model order reduction methods for Ornstein-Uhlenbeck processes and linear S(P)DEs with multiplicative noise based on balanced truncation. For the fi…

math.AP2019

Coarse-graining of non-reversible stochastic differential equations: quantitative results and connections to averaging

Carsten Hartmann, Lara Neureither, Upanshu Sharma

This work is concerned with model reduction of stochastic differential equations and builds on the idea of replacing drift and noise coefficients of preselected relevant, e.g. slow…

math.PR2019★ 22 cited

Variational approach to rare event simulation using least-squares regression

Carsten Hartmann, Omar Kebiri, Lara Neureither +1

We propose an adaptive importance sampling scheme for the simulation of rare events when the underlying dynamics is given by a diffusion. The scheme is based on a Gibbs variational…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.