1 citations · 1 across the 7 of their papers we have counts for
7 papers
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…
Second-Order Strong Optimality and Second-Order Duality for Nonsmooth Constrained Multiobjective Fractional Programming Problems
Jiawei Chen, Luyu Liu, Yibing Lv +2
This paper investigates constrained nonsmooth multiobjective fractional programming problem (NMFP) in real Banach spaces. It derives a quotient calculus rule for computing the firs…
On Error Bounds of Inequalities in Asplund Spaces
Zhou Wei, Michel Théra, Jen-Chih Yao
Error bounds are central objects in optimization theory and its applications. They were for a long time restricted only to the theory before becoming over the course of time a fiel…
The Quasi-Newton Method for the Composite Multiobjective Optimization Problems
Jian-Wen Peng, Jen-Chih Yao
In this paper, we introduce several new quasi-Newton methods for the composite multiobjective optimization problems (in short, CMOP) with Armijo line search. These multiobjective v…
On new generalized differentials with respect to a set and their applications
Xiaolong Qin, Vo Duc Thinh, Jen-Chih Yao
The notions and certain fundamental characteristics of the proximal and limiting normal cones with respect to a set are first presented in this paper. We present the ideas of the l…
Primal Characterizations of Stability of Error Bounds for Semi-infinite Convex Constraint Systems in Banach Spaces
Zhou Wei, Michel Théra, Jen-Chih Yao
This article is devoted to the stability of error bounds (local and global) for semi-infinite convex constraint systems in Banach spaces. We provide primal characterizations of the…