6 papers
Three-Operator Splitting Method with Two-Step Inertial Extrapolation
Olaniyi S. Iyiola, Lateef O. Jolaoso, Yekini Shehu
The aim of this paper is to study the weak convergence analysis of sequence of iterates generated by a three-operator splitting method of Davis and Yin incorporated with two-step i…
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…
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…
A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
Muideen Adegoke, Lateef O. Jolaoso, Mardiyyah Oduwole
The Extreme Learning Machine (ELM) technique is a machine learning approach for constructing feed-forward neural networks with a single hidden layer and their models. The ELM model…
A fresh look at nonsmooth Levenberg--Marquardt methods with applications to bilevel optimization
Lateef O. Jolaoso, Patrick Mehlitz, Alain B. Zemkoho
In this paper, we revisit the classical problem of solving over-determined systems of nonsmooth equations numerically. We suggest a nonsmooth Levenberg--Marquardt method for its so…
Intercultural Science-Art Project 'Magritte Meet Science'
Danilo Gregorin Afonso, Mary Oluwabunmi Akinade, Đorđe Baralić +10
In this manuscript a joint project between young researchers from all around the world, the Intercultural Science-Art Project, is presented, in which all participants interpreted t…