Error bounds of regularized gap functions for nonsmooth variational inequality problems

成果类型:
Article
署名作者:
Ng, Kung Fu; Tan, Lu Lin
署名单位:
Chinese University of Hong Kong
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-006-0007-2
发表日期:
2007
页码:
405-429
关键词:
local uniqueness
摘要:
We study the Clarke-Rockafellar directional derivatives of the regularized gap functions (and of some modified ones) for the variational inequality problem (VIP) defined by a locally Lipschitz but not necessarily differentiable function on a closed convex set in an Euclidean space. As applications we show that, under the strong monotonicity assumption, the regularized gap functions have fractional exponent error bounds and consequently that the sequences provided by an algorithm of Armijo type converge to the solution of the (VIP).