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https://doi.org/10.64785/mc.30.1.4

Parallel implementations of Riemannian conjugate gradient methods for joint approximate diagonalization

Nela Bosner orcid id orcid.org/0000-0001-8667-4513 ; Department of Mathematics, Faculty of Science, University of Zagreb, Zagreb, Croatia *

* Dopisni autor.


Puni tekst: engleski pdf 568 Kb

str. 61-84

preuzimanja: 413

citiraj


Sažetak

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.

Ključne riječi

joint approximate diagonalization, Riemannian conjugate gradient method, matrix manifolds, parallel implementations, efficient algorithms

Hrčak ID:

329423

URI

https://hrcak.srce.hr/329423

Datum izdavanja:

11.3.2025.

Posjeta: 696 *