A new conjugate gradient projection method for convex constrained nonlinear equations

DOI10.1155/2020/8323865zbMath1444.65022OpenAlexW3041830855MaRDI QIDQ2205252

Pengjie Liu, Jin-Bao Jian, Xian-Zhen Jiang

Publication date: 20 October 2020

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/8323865

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Numerical computation of solutions to systems of equations (65H10)

Related Items (7)

A three-term CGPM-based algorithm without Lipschitz continuity for constrained nonlinear monotone equations with applications ⋮ An efficient projection-based algorithm without Lipschitz continuity for large-scale nonlinear pseudo-monotone equations ⋮ A self-adaptive projection method for nonlinear monotone equations with convex constraints ⋮ Real-time pricing method for smart grid based on social welfare maximization model ⋮ An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems ⋮ Modified optimal Perry conjugate gradient method for solving system of monotone equations with applications ⋮ An efficient three-term conjugate gradient-based algorithm involving spectral quotient for solving convex constrained monotone nonlinear equations with applications

Uses Software

• MCPLIB

Cites Work

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