Relaxation approximation of Friedrich's systems under convex constraints
Jean-Fran\c{c}ois Babadjian (LJLL), Cl\'ement Mifsud (LJLL), Nicolas, Seguin (INRIA Paris-Rocquencourt, LJLL)

TL;DR
This paper introduces a relaxation method for Friedrichs' systems with convex constraints, proving strong convergence of the approximation to the unique solution in a local L^2 sense.
Contribution
It presents a new relaxation approximation approach for Friedrichs' systems under convex constraints, with a rigorous convergence proof.
Findings
Strong convergence of the approximation in L^2_{loc}
Unique constrained solution exists and is approximated effectively
Method applicable to a class of Friedrichs' systems
Abstract
This paper is devoted to present an approximation of a Cauchy problem for Friedrichs' systems under convex constraints. It is proved the strong convergence in L^2\_{loc} of a parabolic-relaxed approximation towards the unique constrained solution.
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