On the QR decomposition of fancyscript H -matrices. - Peter Benner; Thomas Mach (Computing, 2010)

Computing All or Some Eigenvalues of Symmetric H-Matrices. - Peter Benner; Thomas Mach (SIAM J. Sci. Comput., 2012)

Computing the eigenvalues of symmetric (H2) -matrices by slicing the spectrum. - Peter Benner; Steffen Börm; Thomas Mach; Knut Reimer (Comput. Vis. Sci., 2013)

The preconditioned inverse iteration for hierarchical matrices. - Peter Benner; Thomas Mach (Numer. Linear Algebra Appl., 2013)

Inverse eigenvalue problems for extended Hessenberg and extended tridiagonal matrices. - Thomas Mach; Marc Van Barel; Raf Vandebril (J. Comput. Appl. Math., 2014)

On Deflations in Extended QR Algorithms. - Thomas Mach; Raf Vandebril (SIAM J. Matrix Anal. Appl., 2014)

Fast and Backward Stable Computation of Roots of Polynomials. - Jared Lee Aurentz; Thomas Mach; Raf Vandebril; David S. Watkins (SIAM J. Matrix Anal. Appl., 2015)

Adaptive cross approximation for ill-posed problems. - Thomas Mach; Lothar Reichel; Marc Van Barel; Raf Vandebril (J. Comput. Appl. Math., 2016)

Fast and Backward Stable Computation of Roots of Polynomials, Part II: Backward Error Analysis; Companion Matrix and Companion Pencil. - Jared Lee Aurentz; Thomas Mach; Leonardo Robol; Raf Vandebril; David S. Watkins (SIAM J. Matrix Anal. Appl., 2018)

On pole-swapping algorithms for the eigenvalue problem. - Daan Camps; Thomas Mach; Raf Vandebril; David S. Watkins (CoRR, 2019)

Pole-swapping algorithms for alternating and palindromic eigenvalue problems. - Thomas Mach; Raf Vandebril; David S. Watkins (CoRR, 2019)

Fast and backward stable computation of eigenvalues and eigenvectors of matrix polynomials. - Jared Lee Aurentz; Thomas Mach; Leonardo Robol; Raf Vandebril; David S. Watkins (Math. Comput., 2019)

Continuous Adaptive Cross Approximation for Ill-posed Problems with Chebfun. - Abdulaziz Alqahtani; Thomas Mach; Lothar Reichel (CoRR, 2020)

Hyperbolic Embedding for Finding Syntax in BERT. - Temirlan Auyespek; Thomas Mach; Zhenisbek Assylbekov (DP@AI*IA, 2021)

New matrix function approximations and quadrature rules based on the Arnoldi process. - Nasim Eshghi; Thomas Mach; Lothar Reichel (J. Comput. Appl. Math., 2021)

From Hyperbolic Geometry Back to Word Embeddings. - Zhenisbek Assylbekov; Sultan Nurmukhamedov; Arsen Sheverdin; Thomas Mach (RepL4NLP@ACL, 2022)

Adaptive cross approximation for Tikhonov regularization in general form. - Thomas Mach; Lothar Reichel; Marc Van Barel (Numer. Algorithms, 2023)

Solution of ill-posed problems with Chebfun. - Abdulaziz Alqahtani; Thomas Mach; Lothar Reichel (Numer. Algorithms, 2023)

The RQR algorithm. - Daan Camps; Thomas Mach; Raf Vandebril; David S. Watkins (CoRR, 2024)

Solution of linear ill-posed operator equations by modified truncated singular value expansion. - Laura Dykes; Mykhailo Kuian; Thomas Mach; Silvia Noschese; Lothar Reichel (J. Comput. Appl. Math., 2025)

Solving the Parametric Eigenvalue Problem by Taylor Series and Chebyshev Expansion. - Thomas Mach; Melina A. Freitag (SIAM J. Matrix Anal. Appl., 2025)