An improved LS-RMIL-type conjugate gradient projection algorithm for systems of nonlinear equations and impulse noise image restoration

This paper proposes an improved LS-RMIL-type conjugate gradient projection algorithm designed for solving systems of nonlinear equations with convex constraints. The algorithm introduces a search direction that maintains sufficient descent and trust-region properties independent of the line search a...

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Bibliographic Details

Published in:	AIMS Mathematics
Main Authors:	Yan Xia, Xuejie Ma, and Dandan Li
Format:	Article
Language:	English
Published:	AIMS Press 2025-06-01
Subjects:	conjugate gradient projection method systems of nonlinear equations global convergence impulse noise image restoration
Online Access:	https://www.aimspress.com/article/doi/10.3934/math.2025614