A diagonal PRP-type projection method for convex constrained nonlinear monotone equations
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Publication:2031317
DOI10.3934/jimo.2019101zbMath1474.49070arXiv1808.00704OpenAlexW2977702085MaRDI QIDQ2031317
Publication date: 9 June 2021
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.00704
global convergencenonlinear monotone equationsPRP conjugate gradient methoddiagonal spectral gradient method
Numerical mathematical programming methods (65K05) Derivative-free methods and methods using generalized derivatives (90C56) Numerical computation of solutions to systems of equations (65H10) Numerical methods based on nonlinear programming (49M37)
Related Items (6)
A hybrid approach for finding approximate solutions to constrained nonlinear monotone operator equations with applications ⋮ A derivative-free multivariate spectral projection algorithm for constrained nonlinear monotone equations ⋮ A Dai-Liao-type projection method for monotone nonlinear equations and signal processing ⋮ PRP-like algorithm for monotone operator equations ⋮ A Perry-type derivative-free algorithm for solving nonlinear system of equations and minimizing ℓ1regularized problem ⋮ Globally convergent diagonal Polak-Ribière-Polyak like algorithm for nonlinear equations
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