3 papers
math.NA2026
Anderson acceleration of the proximal point method: the exact adaptive minimax, a spectral phase transition, and optimal safeguarding
Zheng Jia, Yekini Shehu, Yonghong Yao
\noindent We study residual-polynomial acceleration of the proximal point method (PPM) for maximal monotone inclusions, with Anderson acceleration (AA) as the prototypical adaptive…
math.OC2024
New Douglas-Rashford Splitting Algorithms for Generalized DC Programming with Applications in Machine Learning
Yonghong Yao, Lateef O. Jolaoso, Yekini Shehu +1
In this work, we propose some new Douglas-Rashford splitting algorithms for solving a class of generalized DC (difference of convex functions) in real Hilbert spaces. The proposed…
math.OC2024
Linear Convergence Results for Inertial Type Projection Algorithm for Quasi-Variational Inequalities
Yonghong Yao, Lateef O. Jolaoso, Yekini Shehu
Many recently proposed gradient projection algorithms with inertial extrapolation step for solving quasi-variational inequalities in Hilbert spaces are proven to be strongly conver…