collaborators

5 papers

math.OC2026

Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients

Jonas Bresch, Oleh Melnyk, Martin Schoen +1

The maximization of the (generalized) Rayleigh quotient is a central problem in numerical linear algebra. Conventional algorithms for its computation typically rely on matrix-adjoi…

math.OC2026

Generalization of Zeroth-Order Method for Quotients of Quadratic Functions

Jonas Bresch

Optimization of quadratic functions and their quotients is relevant in subspace and iterative optimization methods. In this paper, we consider the matrix-free computation of the ge…

math.NA2026

Computing adjoint mismatch of linear maps

Jonas Bresch, Dirk A. Lorenz, Felix Schneppe +1

This paper considers the problem of detecting adjoint mismatch for two linear maps. To clarify, this means that we aim to calculate the operator norm for the difference of two line…

math.NA2025

Matrix-free stochastic calculation of operator norms without using adjoints

Jonas Bresch, Dirk A. Lorenz, Felix Schneppe +1

This paper considers the problem of computing the operator norm of a linear map between finite dimensional Hilbert spaces when only evaluations of the linear map are available and…

math.OC2025

Interpolating between Optimal Transport and KL regularized Optimal Transport using Rényi Divergences

Jonas Bresch, Viktor Stein

Regularized optimal transport (OT) has received much attention in recent years starting from Cuturi's introduction of Kullback-Leibler (KL) divergence regularized OT. In this paper…