activity
20092026
most citedData-driven model reduction and transfer operator approximation

267 citations · 1.2k across the 51 of their papers we have counts for

collaborators
Showing 2015Show all

5 papers · 1 filter

math.NA2015★ 24 cited

Towards tensor-based methods for the numerical approximation of the Perron-Frobenius and Koopman operator

Stefan Klus, Christof Schütte

The global behavior of dynamical systems can be studied by analyzing the eigenvalues and corresponding eigenfunctions of linear operators associated with the system. Two important…

math.DS2015★ 179 cited

On the numerical approximation of the Perron-Frobenius and Koopman operator

Stefan Klus, Péter Koltai, Christof Schütte

Information about the behavior of dynamical systems can often be obtained by analyzing the eigenvalues and corresponding eigenfunctions of linear operators associated with a dynami…

physics.bio-ph2015★ 15 cited

Influence of pH and sequence in peptide aggregation via molecular simulation

Marta Enciso, Christof Schuette, Luigi Delle Site

We employ a recently developed coarse-grained model for peptides and proteins where the effect of pH is automatically included. We explore the effect of pH in the aggregation proce…

math.ST2015★ 25 cited

Sparse Proteomics Analysis - A compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data

Tim Conrad, Martin Genzel, Nada Cvetkovic +5

Background: High-throughput proteomics techniques, such as mass spectrometry (MS)-based approaches, produce very high-dimensional data-sets. In a clinical setting one is often inte…

math.PR2015★ 24 cited

Importance sampling in path space for diffusion processes with slow-fast variables

Carsten Hartmann, Christof Schütte, Marcus Weber +1

Importance sampling is a widely used technique to reduce the variance of a Monte Carlo estimator by an appropriate change of measure. In this work, we study importance sam- pling i…