2013
DOI: 10.1007/s10107-013-0637-0
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Solving quasi-variational inequalities via their KKT conditions

Abstract: We propose to solve a general quasi-variational inequality by using its Karush-Kuhn-Tucker conditions. To this end we use a globally convergent algorithm based on a potential reduction approach. We establish global convergence results for many interesting instances of quasi-variational inequalities, vastly broadening the class of problems that can be solved with theoretical guarantees. Our numerical testings are very promising and show the practical viability of the approach

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Cited by 99 publications
(59 citation statements)
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“…[17] has been proved, when applied to this kind of problem, only for small values of the friction. In other words the analyzed examples with the value of the Coulomb friction F !…”
Section: Resultsmentioning
confidence: 97%
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“…[17] has been proved, when applied to this kind of problem, only for small values of the friction. In other words the analyzed examples with the value of the Coulomb friction F !…”
Section: Resultsmentioning
confidence: 97%
“…For what regards QVIs there are a few works devoted to the numerical solution of finite-dimensional QVIs (see e.g. [10][11][12][13][14][15][16]); in particular in the recent paper [17] a solution method for QVIs based on solving their Karush-Kuhn-Tucker (KKT) conditions is proposed.…”
Section: Introductionmentioning
confidence: 99%
“…In [24] some classes of constraints are explicitly covered within KKT type methods for QVIs: moving set, box constraints, linear constraints with variable right-hand side, binary and bilinear constraints. The first three are covered in the framework of this paper too but the last two are not.…”
Section: Stationary Pointsmentioning
confidence: 99%
“…The first three are covered in the framework of this paper too but the last two are not. On the other side, Proposition 1 provides additional classes of constraints that have not been considered in [24].…”
Section: Stationary Pointsmentioning
confidence: 99%
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