2 papers
math.NA2026
Randomized Methods for Kernelized DMD
Peter Oehme
Dynamic Mode Decomposition (DMD) is a data-driven method related to Koopman operator theory that extracts information about dominant dynamics from data snapshots. In this paper we…
math.NA2026
A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions
Daniel Kressner, Peter Oehme
We present a novel Krylov subspace method for approximating $L_f(A, E) \vc{b}$, the matrix-vector product of the Fréchet derivative of a large-scale matrix function $f(…