
doi: 10.1007/bf00938316
The auxiliary problem principle has been proposed by the author as a framework to describe and analyze iterative optimization algorithms such as gradient or subgradient as well as decomposition/coordination algorithms. In this paper, we extend this approach to the computation of solutions to variational inequalities. In the case of single-valued operators, this may as well be considered as an extension of ideas already found in the literature to the case of nonlinear (but still strongly monotone) operators. The case of multivalued operators is also investigated.
Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Nonlinear programming, auxiliary problem principle, decomposition/coordination, monotony, variational inequalities
Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Nonlinear programming, auxiliary problem principle, decomposition/coordination, monotony, variational inequalities
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