A modified predictor–corrector algorithm for solving nonconvex generalized variational inequality
✍ Scribed by Li-Ping Pang; Jie Shen; He-Shan Song
- Book ID
- 108077069
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 192 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In this paper, we suggest a new predictor-corrector algorithm for solving general variational inequalities by using the auxiliary principle technique. The convergence of the proposed method only requires the partially relaxed strong monotonicity of the operator, which is weaker than co-coercivity. A
In this work, we suggest and analyze an extragradient method for solving general nonconvex variational inequalities using the technique of the projection operator. We prove that the convergence of the extragradient method requires only pseudomonotonicity, which is a weaker condition than requiring m