An improved Goldstein's type method for a class of variant variational inequalities
β Scribed by Min Li; Xiao-ming Yuan
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 155 KB
- Volume
- 214
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper aims at presenting an improved Goldstein's type method for a class of variant variational inequalities. In particular, the iterate computed by an existing Goldstein's type method [He, A Goldstein's type projection method for a class of variant variational inequalities J. Comput. Math. 17(4) (1999) [425][426][427][428][429][430][431][432][433][434]. is used to construct a descent direction, and thus the new method generates the new iterate by searching the optimal step size along the descent direction. Some restrictions on the involving functions of the existing Goldstein's type methods are relaxed, while the global convergence of the new method is proved without additional assumptions. The computational superiority of the new method is verified by the comparison to some existing methods.
π SIMILAR VOLUMES
In this paper, we consider and analyze a new class of projection methods for solving pseudomonotone general variational inequalities using the Wiener-Hopf equations technique. The modified methods converge for pseudomonotone operators. Our proof of convergence is very simple as compared with other m
ry gywwxsgesyx eww Γ F ngewF wthF wehF UV @IWWVA TD RPUΒ± Β±RQH rungD xFEjF e xew wethod for glss of xonliner etEvlued ritionl snequlities sn this pper we onstrut new itertive lgorithm for solving new lss of nonliner vritionl inequlities with setE vlued mppingD nd give some onvergene nlysis of itertiv