An efficient gradient-based algorithm with descent direction for unconstrained optimization with applications to image restoration and robotic motion control

An efficient gradient-based algorithm with descent direction for unconstrained optimization with applications to image restoration and robotic motion control

This study presents a novel gradient-based algorithm designed to enhance the performance of optimization models, particularly in computer science applications such as image restoration and robotic motion control. The proposed algorithm introduces a modified conjugate gradient (CG) method, ensuring t...

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Bibliographic Details
Main Authors: Sulaiman Mohammed Ibrahim, Aliyu M. Awwal, Maulana Malik, Ruzelan Khalid, Aida Mauziah Benjamin, Mohd Kamal Mohd Nawawi, Elissa Nadia Madi
Format: Article
Language:English
Published: PeerJ Inc. 2025-05-01
Series:PeerJ Computer Science
Subjects:
Gradient based method
Image restoration
Robotic motion control
Unconstrained optimization
Convergence analysis
Online Access:https://peerj.com/articles/cs-2783.pdf
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