collaborators

8 papers

math.NA2026

Uniform-in-time rational approximation of the matrix exponential with real poles

Stefan Güttel, Shuai Shao

We propose two new approaches for constructing families of rational functions with shared real poles that nearly uniformly approximate the functions for and $…

math.NA2026

Concentrated real-pole uniform-in-time approximation of the matrix exponential

Stefan Güttel, Shuai Shao

We propose an asympotically optimal choice of shared concentrated real poles of a family of rational approximants of time-dependent exponential functions for

math.NA2026

Scalable parallel 3-D TEM inversion via rational approximation of the matrix exponential

Ralph-Uwe Börner, Stefan Güttel, Thomas Günther

We present a novel parallel implementation for large-scale three-dimensional electromagnetic inversion based on a Gauss-Newton framework combined with a rational near-best approxim…

math.NA2026

Stabilizing randomized GMRES through flexible GMRES

Stefan Güttel, John W. Pearson

We explore the use of flexible GMRES as an outer wrapper for sketched GMRES. Building on a new bound for the residual of FGMRES in terms of the residual of the preconditioner, we d…

math.NA2026

Flexible GMRES converges in two phases

Stefan Güttel, Lauri Nyman

We derive a sharp upper bound on the residuals produced by the flexible GMRES (FGMRES) method. The bound shows that FGMRES exhibits two phases of convergence depending on the resid…

math.NA2026

Data-driven discovery of chemical reaction networks

Abraham Reyes-Velazquez, Stefan Güttel, Igor Larrosa +1

We propose a unified framework that allows for the full mechanistic reconstruction of chemical reaction networks (CRNs) from concentration data. The framework utilizes an integral…