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View all- Apriansyah MYokota R(2023)Computing the k-th Eigenvalue of Symmetric H2-MatricesProceedings of the 52nd International Conference on Parallel Processing10.1145/3605573.3605607(11-20)Online publication date: 7-Aug-2023
Hierarchical low-rank approximation of dense matrices can reduce the complexity of their factorization from O ( N 3 ) to O ( N ) . However, the complex structure of such hierarchical matrices makes them difficult to parallelize. The block size and ...
Matrix factorization (or often called decomposition) is a frequently used kernel in a large number of applications ranging from linear solvers to data clustering and machine learning. The central contribution of this paper is a thorough performance ...
The numerical solution of eigenvalue problems is essential in various application areas of scientific and engineering domains. In many problem classes, the practical interest is only a small subset of eigenvalues so it is unnecessary to compute all of ...
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