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.
Solving quasi-variational inequalities via their KKT conditions / Facchinei, Francisco; Christian, Kanzow; Sagratella, Simone. - In: MATHEMATICAL PROGRAMMING. - ISSN 0025-5610. - 144:1-2(2014), pp. 369-412. [10.1007/s10107-013-0637-0]
Solving quasi-variational inequalities via their KKT conditions
FACCHINEI, Francisco;SAGRATELLA, SIMONE
2014
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.File | Dimensione | Formato | |
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