A penalty approach to a discretized double obstacle problem with derivative constraints

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A penalty approach to a discretized double obstacle problem with derivative constraints

This work presents a penalty approach to a nonlinear optimization problem with linear box constraints arising from the discretization of an infinite-dimensional differential obstacle problem with bound constraints on derivatives. In this approach, we first propose a penalty equation approximating th...

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Bibliographic Details
Main Author:	Wang, Song
Format:	Journal Article
Published:	Springer 2015
Subjects:	Mixed nonlinear complementarity problem Convergence rates Variational inequalities Global optimizer Penalty method Double obstacle problem Bounded linear constraints
Online Access:	http://hdl.handle.net/20.500.11937/43515

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