Image space analysis for variational inequalities with cone constraints and applications to traffic equilibria
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摘要:
In this paper,the image space analysis (for short,ISA) is employed to investigate variational inequalities (for short,Ⅵ) with cone constraints.Linear separation for Ⅵ with cone constraints is characterized by using the normal cone to a regularization of the image,and saddle points of the generalized Lagrangian function.Lagrangian-type necessary and sufficient optimality conditions for Ⅵ with cone constraints are presented by using a separation theorem.Gap functions and weak sharpness for Ⅵ with cone constraints are also investigated.Finally,the obtained results are applied to standard and time-dependent traffic equilibria introduced by Daniele,Maugeri and Oettli.