Original scientific paper
https://doi.org/10.64785/mc.30.1.4
Parallel implementations of Riemannian conjugate gradient methods for joint approximate diagonalization
Nela Bosner
orcid.org/0000-0001-8667-4513
; Department of Mathematics, Faculty of Science, University of Zagreb, Zagreb, Croatia
*
* Corresponding author.
Abstract
We propose multi-threaded parallel implementations of the Riemannian conjugate gradient method (CG) on the Stiefel manifold and on the oblique manifold, suitable
for solving two forms of the joint approximate diagonalization problem. In our implementations, each fundamental step of the method is explicitly modified and parallelized to enhance computational efficiency. Numerical experiments demonstrate that our modified
CG implementations are more efficient than the original versions.
Keywords
Hrčak ID:
329423
URI
Publication date:
11.3.2025.
Visits: 696 *