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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Vydané v:	Numerical algorithms Ročník 92; číslo 3; s. 1621 - 1653
Hlavní autori:	Ma, Guodong, Jin, Jiachen, Jian, Jinbao, Yin, Jianghua, Han, Daolan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2023 Springer Nature B.V
Predmet:	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
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