About: A finite dimensional linear programming approximation of Mather's variational problem

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Attributs	Valeurs
type	work Article
Is Part Of	http://hub.abes.fr/edp/periodical/cocv/2009/volume_16/issue_4/w
Subject	minimal measures Action-minimizing orbits and measures Regularity of solutions Variational problems in a geometric measure-theoretic setting Optimization and variational techniques Geometrical methods linear programming Mather problem Γ-convergence
Title	A finite dimensional linear programming approximation of Mather's variational problem
Date	2009-01-01(xsd:dateTime)
has manifestation of work	http://hub.abes.fr/edp/periodical/cocv/2009/volume_16/issue_4/cocv08107/m/print http://hub.abes.fr/edp/periodical/cocv/2009/volume_16/issue_4/cocv08107/m/web
related by	http://hub.abes.fr/edp/periodical/cocv/2009/volume_16/issue_4/cocv08107/authorship/1
Author	Granieri, Luca
Abstract	We provide an approximation of Mather variational problem by finite dimensional minimization problems in the framework of Γ-convergence. By a linear programming interpretation as done in [Evans and Gomes, ESAIM: COCV 8 (2002) 693-702] we state a duality theorem for the Mather problem, as well a finite dimensional approximation for the dual problem.
article type	research-article
publisher identifier	cocv08107
Date Copyrighted	2009-01-01(xsd:dateTime)
Rights	© EDP Sciences, SMAI, 2009
Rights Holder	EDP Sciences, SMAI
is part of this journal	ESAIM: Control, Optimisation and Calculus of Variations
is primary topic of	http://hub.abes.fr/edp/periodical/cocv/2009/volume_16/issue_4/cocv08107/w/record

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