Kathrin Smetana

According to our database, Kathrin Smetana authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Localized Model Reduction for Nonlinear Elliptic Partial Differential Equations: Localized Training, Partition of Unity, and Adaptive Enrichment.

Kathrin Smetana, Tommaso Taddei

SIAM J. Sci. Comput., June, 2023

Randomized Quasi-Optimal Local Approximation Spaces in Time.

Julia Schleuß, Kathrin Smetana, Lukas ter Maat

SIAM J. Sci. Comput., June, 2023

DEIM vs. leverage scores for time-parallel construction of problem-adapted basis functions.

Julia Schleuß, Kathrin Smetana

CoRR, 2023

2022

Stable and Efficient Petrov-Galerkin Methods for a Kinetic Fokker-Planck Equation.

Julia Brunken, Kathrin Smetana

SIAM J. Numer. Anal., 2022

Optimal Local Approximation Spaces for Parabolic Problems.

Julia Schleuß, Kathrin Smetana

Multiscale Model. Simul., 2022

A fully algebraic and robust two-level Schwarz method based on optimal local approximation spaces.

Alexander Heinlein, Kathrin Smetana

CoRR, 2022

2019

Randomized Residual-Based Error Estimators for Parametrized Equations.

Kathrin Smetana, Olivier Zahm, Anthony T. Patera

SIAM J. Sci. Comput., 2019

(Parametrized) First Order Transport Equations: Realization of Optimally Stable Petrov-Galerkin Methods.

Julia Brunken, Kathrin Smetana, Karsten Urban

SIAM J. Sci. Comput., 2019

Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems.

Kathrin Smetana, Olivier Zahm

CoRR, 2019

2018

Randomized Local Model Order Reduction.

Andreas Buhr, Kathrin Smetana

SIAM J. Sci. Comput., 2018

2016

Optimal Local Approximation Spaces for Component-Based Static Condensation Procedures.

Kathrin Smetana, Anthony T. Patera

SIAM J. Sci. Comput., 2016

Approximation of skewed interfaces with tensor-based model reduction procedures: Application to the reduced basis hierarchical model reduction approach.

Mario Ohlberger, Kathrin Smetana

J. Comput. Phys., 2016

2014

A Dimensional Reduction Approach Based on the Application of Reduced Basis Methods in the Framework of Hierarchical Model Reduction.

Mario Ohlberger, Kathrin Smetana

SIAM J. Sci. Comput., 2014