Follow
Carl Christian Kjelgaard Mikkelsen
Carl Christian Kjelgaard Mikkelsen
Research Scientist, Department of Computing Science and HPC2N, Umeå University
Verified email at cs.umu.se - Homepage
Title
Cited by
Cited by
Year
Analysis of the truncated SPIKE algorithm
CCK Mikkelsen, M Manguoglu
SIAM Journal on Matrix Analysis and Applications 30 (4), 1500-1519, 2009
462009
Numerical methods for large Lyapunov equations
CCK Mikkelsen
Purdue University, 2009
172009
Parallel robust solution of triangular linear systems
CC Kjelgaard Mikkelsen, AB Schwarz, L Karlsson
Concurrency and Computation: Practice and Experience 31 (19), e5064, 2019
132019
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
122017
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
72021
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
62020
D2. 7 eigenvalue solvers for nonsymmetric problems
M Myllykoski, CC Kjelgaard Mikkelsen, AB Schwarz, B Kågström
NLAFET Consortium; Umeå University, 2019
62019
Task-based parallel algorithms for reordering of matrices in real Schur form
M Myllykoski, CCK Mikkelsen, L Karlsson, B Kågström
NLAFET Working Note, 2017
62017
Parallel solution of narrow banded diagonally dominant linear systems
CCK Mikkelsen, B Kågström
Applied Parallel and Scientific Computing: 10th International Conference …, 2012
62012
Robust solution of triangular linear systems
CC Kjelgaard Mikkelsen, L Karlsson
Umeå universitet, 2017
52017
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
52010
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
42016
Reliability of Krylov Subspace Methods-A Practical Perspective II
M Naumov, M Manguoglu, CC Mikkelsen, A Sameh
42007
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
32023
Robust parallel eigenvector computation for the non-symmetric eigenvalue problem
A Schwarz, CCK Mikkelsen, L Karlsson
Parallel Computing 100, 102707, 2020
32020
Robust task-parallel solution of the triangular Sylvester equation
A Schwarz, CC Kjelgaard Mikkelsen
Parallel Processing and Applied Mathematics: 13th International Conference …, 2020
32020
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
32019
Well-conditioned eigenvalue problems that overflow
CCK Mikkelsen
arXiv preprint arXiv:2005.05356, 2020
22020
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
22017
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
22017
The system can't perform the operation now. Try again later.
Articles 1–20