A nonlinear extension of Hoffman's error bounds for linear inequalities
成果类型:
Article
署名作者:
Zalinescu, C
署名单位:
Martin Luther University Halle Wittenberg
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
发表日期:
2003
页码:
524-532
关键词:
convex
MULTIFUNCTIONS
systems
摘要:
In a recent paper Li and Singer (1998) introduced the notion of global error bound for a convex multifunction at a point of its domain. They showed the existence of such a global error bound when the-image of the multifunction at the respective point is bounded and conjectured a result for the case when the image is not bounded. In this paper we solve their conjecture with a positive answer. For this we establish a criterion for the existence of a global error bound using the Pompeiu-Hausdorff excess. We also improve slightly some results of Li and Singer and introduce a gage associated to a multifunction similar to that for well-conditioning of convex functions, with similar properties.