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Variational and convex approximations of 1-dimensional optimal networks and hyperbolic obstacle problems

In this thesis we investigate variational problems involving 1-dimensional sets (e.g., curves, networks) and variational inequalities related to obstacle-type dynamics from a twofold prospective. On one side, we provide variational approximations and convex relaxations of the relevant energies and dynamics, moving mainly within the framework of Gamma-convergence and of convex analysis. On the other side, we thoroughly investigate the numerical optimization of the corresponding approximating energies, both to recover optimal 1-dimensional structures and to accurately simulate the actual dynamics.

Identiferoai:union.ndltd.org:unitn.it/oai:iris.unitn.it:11572/369106
Date January 2019
CreatorsBonafini, Mauro
ContributorsBonafini, Mauro
PublisherUniversità degli studi di Trento, place:TRENTO
Source SetsUniversità di Trento
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/doctoralThesis
Rightsinfo:eu-repo/semantics/closedAccess
Relationfirstpage:1, lastpage:97, numberofpages:97

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