A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration

This paper proposes a novel hybrid PRP-HS-LS-type conjugate gradient algorithm for solving constrained nonlinear systems of equations. The proposed algorithm presents several significant advancements and key features: (i) the conjugate parameter is constructed by utilizing the hybrid technique; (i...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuejie Ma, Songhua Wang
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241717
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832590721657339904
author Xuejie Ma
Songhua Wang
author_facet Xuejie Ma
Songhua Wang
author_sort Xuejie Ma
collection DOAJ
description This paper proposes a novel hybrid PRP-HS-LS-type conjugate gradient algorithm for solving constrained nonlinear systems of equations. The proposed algorithm presents several significant advancements and key features: (i) the conjugate parameter is constructed by utilizing the hybrid technique; (ii) the search direction, designed with the conjugate parameter, possesses sufficient descent and trust region properties without the need for a line search mechanism; (iii) the global convergence is rigorously established under general assumptions, notably without the requirement of the Lipschitz continuity condition; (vi) numerical experiments demonstrate the algorithm's efficiency, particularly in solving large-scale constrained nonlinear systems of equations and addressing the sparse signal restoration problem.
format Article
id doaj-art-05a243c59b9a48bd9a707fe8f2903961
institution Kabale University
issn 2473-6988
language English
publishDate 2024-12-01
publisher AIMS Press
record_format Article
series AIMS Mathematics
spelling doaj-art-05a243c59b9a48bd9a707fe8f29039612025-01-23T07:53:25ZengAIMS PressAIMS Mathematics2473-69882024-12-01912361673619010.3934/math.20241717A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restorationXuejie Ma0Songhua Wang1School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou 511300, ChinaSchool of Mathematics, Physics and Statistics, Baise University, Baise 533099, ChinaThis paper proposes a novel hybrid PRP-HS-LS-type conjugate gradient algorithm for solving constrained nonlinear systems of equations. The proposed algorithm presents several significant advancements and key features: (i) the conjugate parameter is constructed by utilizing the hybrid technique; (ii) the search direction, designed with the conjugate parameter, possesses sufficient descent and trust region properties without the need for a line search mechanism; (iii) the global convergence is rigorously established under general assumptions, notably without the requirement of the Lipschitz continuity condition; (vi) numerical experiments demonstrate the algorithm's efficiency, particularly in solving large-scale constrained nonlinear systems of equations and addressing the sparse signal restoration problem.https://www.aimspress.com/article/doi/10.3934/math.20241717constrained nonlinear systems of equationsconjugate gradient methodlarge-scaleglobal convergencesignal reconstruction
spellingShingle Xuejie Ma
Songhua Wang
A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
AIMS Mathematics
constrained nonlinear systems of equations
conjugate gradient method
large-scale
global convergence
signal reconstruction
title A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
title_full A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
title_fullStr A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
title_full_unstemmed A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
title_short A hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
title_sort hybrid approach to conjugate gradient algorithms for nonlinear systems of equations with applications in signal restoration
topic constrained nonlinear systems of equations
conjugate gradient method
large-scale
global convergence
signal reconstruction
url https://www.aimspress.com/article/doi/10.3934/math.20241717
work_keys_str_mv AT xuejiema ahybridapproachtoconjugategradientalgorithmsfornonlinearsystemsofequationswithapplicationsinsignalrestoration
AT songhuawang ahybridapproachtoconjugategradientalgorithmsfornonlinearsystemsofequationswithapplicationsinsignalrestoration
AT xuejiema hybridapproachtoconjugategradientalgorithmsfornonlinearsystemsofequationswithapplicationsinsignalrestoration
AT songhuawang hybridapproachtoconjugategradientalgorithmsfornonlinearsystemsofequationswithapplicationsinsignalrestoration