A Dai-Kou-Type method with image de-blurring application

By exploiting nice attributes of three-term conjugate gradient (TTCG) methods and the efficiency of the Dai-Kou scheme, this paper proposes a spectral class of Dai-Kou-type methods for monotone systems with convex constraints. The scheme combines a modified Dai-Kou search direction with the project...

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Main Authors: K. Ahmed, M. Y. Waziri, A. S. Halilu, I. A. R. Moghrab, H. Abdullahi, S. M. Ibrahim, Y. B. Musa, S. Murtala, A. M. Awwal, A. Sambas
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2025-08-01
Series:Journal of Nigerian Society of Physical Sciences
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Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/2569
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author K. Ahmed
M. Y. Waziri
A. S. Halilu
I. A. R. Moghrab
H. Abdullahi
S. M. Ibrahim
Y. B. Musa
S. Murtala
A. M. Awwal
A. Sambas
author_facet K. Ahmed
M. Y. Waziri
A. S. Halilu
I. A. R. Moghrab
H. Abdullahi
S. M. Ibrahim
Y. B. Musa
S. Murtala
A. M. Awwal
A. Sambas
author_sort K. Ahmed
collection DOAJ
description By exploiting nice attributes of three-term conjugate gradient (TTCG) methods and the efficiency of the Dai-Kou scheme, this paper proposes a spectral class of Dai-Kou-type methods for monotone systems with convex constraints. The scheme combines a modified Dai-Kou search direction with the projection method and can best be described as an adaptation of the Dai-Kou method to nonlinear systems. An important contribution of the scheme is its application to image de-blurring. The method is shown to converge globally under mild assumptions. Furthermore, test results of some numerical experiments suggest that the proposed approach outperforms three recent schemes for convex constrained monotone systems.
format Article
id doaj-art-e5a9628ae9e7476ab194b5c6ae7fddc6
institution OA Journals
issn 2714-2817
2714-4704
language English
publishDate 2025-08-01
publisher Nigerian Society of Physical Sciences
record_format Article
series Journal of Nigerian Society of Physical Sciences
spelling doaj-art-e5a9628ae9e7476ab194b5c6ae7fddc62025-08-20T02:39:03ZengNigerian Society of Physical SciencesJournal of Nigerian Society of Physical Sciences2714-28172714-47042025-08-017310.46481/jnsps.2025.2569A Dai-Kou-Type method with image de-blurring applicationK. Ahmed M. Y. WaziriA. S. HaliluI. A. R. MoghrabH. AbdullahiS. M. IbrahimY. B. MusaS. MurtalaA. M. AwwalA. Sambas By exploiting nice attributes of three-term conjugate gradient (TTCG) methods and the efficiency of the Dai-Kou scheme, this paper proposes a spectral class of Dai-Kou-type methods for monotone systems with convex constraints. The scheme combines a modified Dai-Kou search direction with the projection method and can best be described as an adaptation of the Dai-Kou method to nonlinear systems. An important contribution of the scheme is its application to image de-blurring. The method is shown to converge globally under mild assumptions. Furthermore, test results of some numerical experiments suggest that the proposed approach outperforms three recent schemes for convex constrained monotone systems. https://journal.nsps.org.ng/index.php/jnsps/article/view/2569Nonlinear monotone systems Spectral parameterImage de-blurringConvex constraint
spellingShingle K. Ahmed
M. Y. Waziri
A. S. Halilu
I. A. R. Moghrab
H. Abdullahi
S. M. Ibrahim
Y. B. Musa
S. Murtala
A. M. Awwal
A. Sambas
A Dai-Kou-Type method with image de-blurring application
Journal of Nigerian Society of Physical Sciences
Nonlinear monotone systems
Spectral parameter
Image de-blurring
Convex constraint
title A Dai-Kou-Type method with image de-blurring application
title_full A Dai-Kou-Type method with image de-blurring application
title_fullStr A Dai-Kou-Type method with image de-blurring application
title_full_unstemmed A Dai-Kou-Type method with image de-blurring application
title_short A Dai-Kou-Type method with image de-blurring application
title_sort dai kou type method with image de blurring application
topic Nonlinear monotone systems
Spectral parameter
Image de-blurring
Convex constraint
url https://journal.nsps.org.ng/index.php/jnsps/article/view/2569
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