A Three-Term Hybrid Conjugate Gradient Projection Method for Solving Convex Constrained Nonlinear Monotone Equations and Applications

This paper presents a new three-term hybrid conjugate gradient projection method for handling large-scale convex-constrained nonlinear monotone equations that are prevalent in fields such as engineering optimization, data science, and signal processing. This method is based on a three-term conjugate...

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Veröffentlicht in:	IEEE access Jg. 13; S. 188049 - 188063
Hauptverfasser:	Fang, Xiaowei, Rao, Yufan, Wang, Jingchi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Compressed sensing Conjugate gradient method Constraints Convergence Gradient methods Iterative methods Mathematical models Nonlinear equations nonlinear monotone equations Optimization Projection algorithms projection method Run time (computers) Signal processing Signal reconstruction three-term conjugate gradient Vectors
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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