A modified inertial three-term conjugate gradient projection method for constrained nonlinear equations with applications in compressed sensing

In this paper, based on the three-term conjugate gradient projection method and the inertial technique, we propose a modified inertial three-term conjugate gradient projection method for solving nonlinear monotone equations with convex constraints. Embedding the inertial extrapolation step in the de...

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Veröffentlicht in:	Numerical algorithms Jg. 92; H. 3; S. 1621 - 1653
Hauptverfasser:	Ma, Guodong, Jin, Jiachen, Jian, Jinbao, Yin, Jianghua, Han, Daolan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2023 Springer Nature B.V
Schlagworte:	Algebra Algorithms Computer Science Conjugate gradient method Constraints Convergence Hilbert space Image restoration Mathematical analysis Methods Nonlinear equations Numeric Computing Numerical Analysis Optimization Original Paper Random variables Robustness (mathematics) Theory of Computation Linear convergence rate 68U10 65K05 Three-term conjugate gradient projection algorithm 90C56 Inertial method Compressed sensing
ISSN:	1017-1398, 1572-9265
Online-Zugang:	Volltext
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