Auxiliary problem principle extended to variational inequalities
Journal of Optimization Theory and Applications
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A general descent framework for the monotone variational inequality problem
Mathematical Programming: Series A and B
A class of gap functions for variational inequalities
Mathematical Programming: Series A and B
Modified descent methods for solving the monotone variational inequality problem
Operations Research Letters
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Recently, Zhu and Marcotte (1993) established the convergence of a modified descent algorithm for monotone variational inequalities. Using algorithmic equivalence results due to Patriksson (1993) and Larsson and Patriksson (1994), we show that this convergence result may be used to established the convergence of slightly modified versions of the classical successive approximation algorithms of Dafermos (1983) and Cohen (1988), and of the descent algorithms of Wu et al. (1993), Patriksson (1993) and Larsson and Patriksson (1994), under assumptions that are both much milder and much easier to verify than those for their original statements.