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Gap functions and error bounds based on constrained vector variational inequalities
YANG Hu 1, YAO Bin 2 *
1. College of Mathematics and Statistics, Chongqing University,Chongqing 401331
2. College of Science,Shihezi University,Shihezi 832003
*Correspondence author
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Funding: none
Opened online:25 October 2019
Accepted by: none
Citation: YANG Hu, YAO Bin.Gap functions and error bounds based on constrained vector variational inequalities[OL]. [25 October 2019] http://en.paper.edu.cn/en_releasepaper/content/4749818
 
 
In this paper,by employing the image space analysis to investigate the constrained vector variational inequality.Firstly,By virtue of the oriented distance function,a new nonlinear regular weak separation function is introduced.By mean of the nonlinear regular weak separation function,a gap function for the constrained vector variational inequality is obtained.Then,as an application of gap functions,error bounds for the constrained vector variational inequalities are dervied.Morever,these bounds offer valid estimated distances between a feasible point and the solution set of the constrained vector variational inequalities.
Keywords:constrained vector variational inequalities;nonlinear regular weak separation function;gap functions;error bounds;image space analysis
 
 
 

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