Quasi-variational inequalities (QVIs) are a well established and important modelling tool with several applications in different fields. Solution methods exist, but are either especially tailored to very particular classes of problems, or are investigated mainly from a theoretical point of view. However, spurred by several recent applications of QVIs in engineering, the interest in general purpose solution methods is growing. The aim of this paper is to present a collection of test problems from diverse sources which gives a uniform basis on which algorithms for the solution of QVIs can be tested and compared. All the proposed problems are implemented in Matlab and the collection is freely available on request.

QVILIB: A LIBRARY OF QUASI-VARIATIONAL INEQUALITY TEST PROBLEMS / Facchinei, Francisco; Christian, Kanzow; Sagratella, Simone. - In: PACIFIC JOURNAL OF OPTIMIZATION. - ISSN 1348-9151. - 9:(2013), pp. 225-250.

QVILIB: A LIBRARY OF QUASI-VARIATIONAL INEQUALITY TEST PROBLEMS

FACCHINEI, Francisco;SAGRATELLA, SIMONE
2013

Abstract

Quasi-variational inequalities (QVIs) are a well established and important modelling tool with several applications in different fields. Solution methods exist, but are either especially tailored to very particular classes of problems, or are investigated mainly from a theoretical point of view. However, spurred by several recent applications of QVIs in engineering, the interest in general purpose solution methods is growing. The aim of this paper is to present a collection of test problems from diverse sources which gives a uniform basis on which algorithms for the solution of QVIs can be tested and compared. All the proposed problems are implemented in Matlab and the collection is freely available on request.
2013
quasi-variational inequalities; contact problem; walrasian equilibrium problem; generalized nash equilibrium problem; test problem
01 Pubblicazione su rivista::01a Articolo in rivista
QVILIB: A LIBRARY OF QUASI-VARIATIONAL INEQUALITY TEST PROBLEMS / Facchinei, Francisco; Christian, Kanzow; Sagratella, Simone. - In: PACIFIC JOURNAL OF OPTIMIZATION. - ISSN 1348-9151. - 9:(2013), pp. 225-250.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/540450
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