| Fast and backward stable computation of roots of polynomials JL Aurentz, T Mach, R Vandebril, DS Watkins | 66 | 2014 |
| Core-chasing algorithms for the eigenvalue problem JL Aurentz, T Mach, L Robol, R Vandebril, DS Watkins Society for Industrial and Applied Mathematics, 2018 | 37 | 2018 |
| Computing All or Some Eigenvalues of Symmetric -Matrices P Benner, T Mach SIAM Journal on Scientific Computing 34 (1), A485-A496, 2012 | 25 | 2012 |
| Fast and backward stable computation of roots of polynomials, Part II: Backward error analysis; companion matrix and companion pencil JL Aurentz, T Mach, L Robol, R Vandebril, DS Watkins SIAM Journal on Matrix Analysis and Applications 39 (3), 1245-1269, 2018 | 22 | 2018 |
| Computing Inner Eigenvalues of Matrices in Tensor Train Matrix Format T Mach | 22 | 2011 |
| Fast and backward stable computation of eigenvalues and eigenvectors of matrix polynomials J Aurentz, T Mach, L Robol, R Vandebril, D Watkins Mathematics of Computation 88 (315), 313-347, 2019 | 20 | 2019 |
| On the QR decomposition of ℋ-matrices P Benner, T Mach Computing 88 (3), 111-129, 2010 | 20 | 2010 |
| Computing approximate (block) rational Krylov subspaces without explicit inversion with extensions to symmetric matrices T Mach, MS Pranic, R Vandebril Electron. Trans. Numer. Anal 43 (100-124), 15, 2014 | 19 | 2014 |
| Adaptive cross approximation for ill-posed problems T Mach, L Reichel, M Van Barel, R Vandebril Journal of Computational and Applied Mathematics 303, 206-217, 2016 | 18 | 2016 |
| Computing Approximate Extended Krylov Subspaces without Explicit Inversion T Mach, MS Pranic, R Vandebril | 18 | 2013 |
| Inverse eigenvalue problems for extended Hessenberg and extended tridiagonal matrices T Mach, M Van Barel, R Vandebril Journal of Computational and Applied Mathematics 272, 377-398, 2014 | 17* | 2014 |
| Eigenvalue Algorithms for Symmetric Hierarchical Matrices T Mach TU Chemnitz/Max Planck Institute for Dynamics of C, 2012 | 15 | 2012 |
| Fast and stable unitary QR algorithm JL Aurentz, T Mach, R Vandebril, DS Watkins Electron. Trans. Numer. Anal 44, 327-341, 2015 | 14 | 2015 |
| On deflations in extended QR algorithms T Mach, R Vandebril SIAM Journal on Matrix Analysis and Applications 35 (2), 559-579, 2014 | 14 | 2014 |
| The preconditioned inverse iteration for hierarchical matrices P Benner, T Mach | 12 | 2011 |
| The LR Cholesky algorithm for symmetric hierarchical matrices P Benner, T Mach Linear Algebra and its Applications 439 (4), 1150-1166, 2013 | 10 | 2013 |
| Towards an ADI iteration for Tensor Structured Equations T Mach, J Saak Max Planck Institute Preprints, 2011 | 10 | 2011 |
| Locally optimal block preconditioned conjugate gradient method for hierarchical matrices P Benner, T Mach PAMM 11 (1), 741-742, 2011 | 9 | 2011 |
| Computing the eigenvalues of symmetric -matrices by slicing the spectrum P Benner, S Börm, T Mach, K Reimer Computing and Visualization in Science 16 (6), 271-282, 2013 | 8 | 2013 |
| Convergence rates for inverse-free rational approximation of matrix functions C Jagels, T Mach, L Reichel, R Vandebril Linear Algebra and its Applications 510, 291-310, 2016 | 5 | 2016 |
Raf VandebrilProfessor Dept. Computerwetenschappen, KU Leuven在 cs.kuleuven.be 的电子邮件经过验证
