Efficient and Stable Arnoldi Restarts for Matrix Functions Based on Quadrature. - Andreas Frommer; Stefan Güttel; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2014)

Convergence of Restarted Krylov Subspace Methods for Stieltjes Functions of Matrices. - Andreas Frommer; Stefan Güttel; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2014)

A two-sided short-recurrence extended Krylov subspace method for nonsymmetric matrices and its relation to rational moment matching. - Marcel Schweitzer (Numer. Algorithms, 2017)

The Radau-Lanczos Method for Matrix Functions. - Andreas Frommer; Kathryn Lund; Marcel Schweitzer; Daniel B. Szyld (SIAM J. Matrix Anal. Appl., 2017)

Bounds for the decay of the entries in inverses and Cauchy-Stieltjes functions of certain sparse, normal matrices. - Andreas Frommer; Claudia Schimmel; Marcel Schweitzer (Numer. Linear Algebra Appl., 2018)

Low-Rank Updates of Matrix Functions. - Bernhard Beckermann; Daniel Kressner; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2018)

Decay bounds for Bernstein functions of Hermitian matrices with applications to the fractional graph Laplacian. - Marcel Schweitzer (CoRR, 2021)

Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods. - Peter Kandolf; Antti Koskela; Samuel D. Relton; Marcel Schweitzer (Numer. Linear Algebra Appl., 2021)

Analysis of Probing Techniques for Sparse Approximation and Trace Estimation of Decaying Matrix Functions. - Andreas Frommer; Claudia Schimmel; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2021)

A Comparison of Limited-memory Krylov Methods for Stieltjes Functions of Hermitian Matrices. - Stefan Güttel; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2021)

Low-Rank Updates of Matrix Functions II: Rational Krylov Methods. - Bernhard Beckermann; Alice Cortinovis; Daniel Kressner; Marcel Schweitzer (SIAM J. Numer. Anal., 2021)

Integral representations for higher-order Fréchet derivatives of matrix functions: Quadrature algorithms and new results on the level-2 condition number. - Marcel Schweitzer (CoRR, 2022)

The Fréchet derivative of the tensor t-function. - Kathryn Lund; Marcel Schweitzer (CoRR, 2023)

Structured level-2 condition numbers of matrix functions. - Bahar Arslan; Samuel D. Relton; Marcel Schweitzer (CoRR, 2023)

Analysis of stochastic probing methods for estimating the trace of functions of sparse symmetric matrices. - Andreas Frommer; Michele Rinelli; Marcel Schweitzer (CoRR, 2023)

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (CoRR, 2023)

Krylov Subspace Restarting for Matrix Laplace Transforms. - Andreas Frommer; Karsten Kahl; Marcel Schweitzer; Manuel Tsolakis (SIAM J. Matrix Anal. Appl., 2023)

Randomized Sketching for Krylov Approximations of Large-Scale Matrix Functions. - Stefan Güttel; Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2023)

Sensitivity of Matrix Function Based Network Communicability Measures: Computational Methods and A Priori Bounds. - Marcel Schweitzer (SIAM J. Matrix Anal. Appl., 2023)

Polynomial Preconditioning for the Action of the Matrix Square Root and Inverse Square Root. - Andreas Frommer; Gustavo Ramirez-Hidalgo; Marcel Schweitzer; Manuel Tsolakis (CoRR, 2024)

Challenges in computing matrix functions. - Massimiliano Fasi; Stéphane Gaudreault; Kathryn Lund; Marcel Schweitzer (CoRR, 2024)

Sketched and truncated polynomial Krylov subspace methods: Matrix Sylvester equations. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (Math. Comput., 2024)

Krylov Subspace Residual and Restarting for Certain Second Order Differential Equations. - Mike A. Botchev; Leonid Knizhnerman; Marcel Schweitzer (SIAM J. Sci. Comput., 2024)

Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions. - Davide Palitta; Marcel Schweitzer; Valeria Simoncini (Numer. Linear Algebra Appl., 2025)

Near instance optimality of the Lanczos method for Stieltjes and related matrix functions. - Marcel Schweitzer (CoRR, 2025)