activity
20072023
most citedApproximation and learning by greedy algorithms

323 citations · 565 across the 31 of their papers we have counts for

collaborators

32 papers

math.NA2023

Accuracy Controlled Schemes for the Eigenvalue Problem of the Radiative Transfer Equation

Wolfgang Dahmen, Olga Mula

The criticality problem in nuclear engineering asks for the principal eigenpair of a Boltzmann operator describing neutron transport in a reactor core. Being able to reliably desig…

math.AP2023

Reduced order modeling for elliptic problems with high contrast diffusion coefficients

Albert Cohen, Matthieu Dolbeault, Agustin Somacal +1

We consider the parametric elliptic PDE on a spatial domain , with a scalar piecewise constant diffusion coefficient taking any positive val…

math.NA2023

Solving PDEs with Incomplete Information

Peter Binev, Andrea Bonito, Albert Cohen +3

We consider the problem of numerically approximating the solutions to a partial differential equation (PDE) when there is insufficient information to determine a unique solution. O…

math.NA2022★ 1 cited

Least squares solvers for ill-posed PDEs that are conditionally stable

Wolfgang Dahmen, Harald Monsuur, Rob Stevenson

This paper is concerned with the design and analysis of least squares solvers for ill-posed PDEs that are conditionally stable. The norms and the regularization term used in the le…

math.NA2022★ 5 cited

Compositional Sparsity, Approximation Classes, and Parametric Transport Equations

Wolfgang Dahmen

Approximating functions of a large number of variables poses particular challenges often subsumed under the term ``Curse of Dimensionality'' (CoD). Unless the approximated function…

math.NA2021★ 4 cited

Nonlinear Reduced DNN Models for State Estimation

Wolfgang Dahmen, Min Wang, Zhu Wang

We propose in this paper a data driven state estimation scheme for generating nonlinear reduced models for parametric families of PDEs, directly providing data-to-state maps, repre…