This paper presents a unified framework of proximal point algorithms (PPAs) for solving general variational inequalities (GVIs). Some existing PPAs for classical variational inequalities, including both the exact and inexact versions, are extended to solving GVIs. Consequently, several new PPA-based algorithms are proposed.
Scopus Subject Areas
- Control and Optimization
- Management Science and Operations Research
- Applied Mathematics
- General variational inequality
- Inexact versions
- Proximal point algorithms