Proposes two spectral conjugate gradient projection methods for monotone nonlinear equations, proving global convergence under monotonicity alone for the first variant without Lipschitz continuity.
An efficient inertial subspace minimization CG algorithm with convergence rate analysis for constrained nonlinear monotone equations
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Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
Proposes two spectral conjugate gradient projection methods for monotone nonlinear equations, proving global convergence under monotonicity alone for the first variant without Lipschitz continuity.