| Analysis of the truncated SPIKE algorithm CCK Mikkelsen, M Manguoglu SIAM Journal on Matrix Analysis and Applications 30 (4), 1500-1519, 2009 | 48 | 2009 |
| Numerical methods for large Lyapunov equations CCK Mikkelsen Purdue University, 2009 | 17 | 2009 |
| Parallel robust solution of triangular linear systems CC Kjelgaard Mikkelsen, AB Schwarz, L Karlsson Concurrency and Computation: Practice and Experience 31 (19), e5064, 2019 | 13 | 2019 |
| Blocked algorithms for robust solution of triangular linear systems CC Kjelgaard Mikkelsen, L Karlsson International Conference on Parallel Processing and Applied Mathematics, 68-78, 2017 | 12 | 2017 |
| Introduction to StarNEig—a task-based library for solving nonsymmetric eigenvalue problems M Myllykoski, CC Kjelgaard Mikkelsen Parallel Processing and Applied Mathematics: 13th International Conference …, 2020 | 8 | 2020 |
| Task‐based, GPU‐accelerated and robust library for solving dense nonsymmetric eigenvalue problems M Myllykoski, CC Kjelgaard Mikkelsen Concurrency and Computation: Practice and Experience 33 (11), e5915, 2021 | 7 | 2021 |
| D2. 7 eigenvalue solvers for nonsymmetric problems M Myllykoski, CC Kjelgaard Mikkelsen, AB Schwarz, B Kågström NLAFET Consortium; Umeå University, 2019 | 6 | 2019 |
| Task-based parallel algorithms for reordering of matrices in real Schur form M Myllykoski, CCK Mikkelsen, L Karlsson, B Kågström NLAFET Working Note, 2017 | 6 | 2017 |
| Parallel solution of narrow banded diagonally dominant linear systems CCK Mikkelsen, B Kågström Applied Parallel and Scientific Computing: 10th International Conference …, 2012 | 6 | 2012 |
| Robust solution of triangular linear systems CC Kjelgaard Mikkelsen, L Karlsson Umeå universitet, 2017 | 5 | 2017 |
| Any positive residual curve is possible for the Arnoldi method for Lyapunov matrix equations CCK Mikkelsen Tech. Rep. UMINF 10.03, Department of Computing Science, Umeå University, 2010 | 5 | 2010 |
| Accelerating sparse arithmetic in the context of Newton’s method for small molecules with bond constraints CCK Mikkelsen, J Alastruey-Benedé, P Ibáñez-Marín, PG Risueño Parallel Processing and Applied Mathematics: 11th International Conference …, 2016 | 4 | 2016 |
| Reliability of Krylov Subspace Methods-A Practical Perspective II M Naumov, M Manguoglu, CC Mikkelsen, A Sameh | 4 | 2007 |
| Accurate and efficient constrained molecular dynamics of polymers using Newton's method and special purpose code L López-Villellas, CCK Mikkelsen, JJ Galano-Frutos, S Marco-Sola, ... Computer Physics Communications 288, 108742, 2023 | 3 | 2023 |
| Robust parallel eigenvector computation for the non-symmetric eigenvalue problem A Schwarz, CCK Mikkelsen, L Karlsson Parallel Computing 100, 102707, 2020 | 3 | 2020 |
| Robust task-parallel solution of the triangular Sylvester equation A Schwarz, CC Kjelgaard Mikkelsen Parallel Processing and Applied Mathematics: 13th International Conference …, 2020 | 3 | 2020 |
| Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencils CC Kjelgaard Mikkelsen, M Myllykoski International Conference on Parallel Processing and Applied Mathematics, 58-69, 2019 | 3 | 2019 |
| Well-conditioned eigenvalue problems that overflow CCK Mikkelsen arXiv preprint arXiv:2005.05356, 2020 | 2 | 2020 |
| Towards highly parallel and compute-bound computation of eigenvectors of matrices in Schur Form B Adlerborn, CC Kjelgaard Mikkelsen, L Karlsson, B Kågström Umeå universitet, 2017 | 2 | 2017 |
| Task-Based Parallel Algorithms for Eigenvalue Reordering of Matrices in Real Schur Forms M Myllykoski, CC Kjelgaard Mikkelsen, L Karlsson, B Kågström Umeå University, 2017 | 2 | 2017 |
Mirko MyllykoskiVarian Medical Systems, a Siemens Healthineers companyZweryfikowany adres z varian.com
