A priori stopping rule for an iterative Bregman method for optimal control problems

In this article we continue our investigation of the iterative regularization method for optimization problems based on Bregman distances. The optimization problems are subject to pointwise inequality constraints in \(L^2(\Omega)\). We provide an estimate for the noise error for perturbed data, whic...

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Veröffentlicht in:	arXiv.org 2016-08
1. Verfasser:	Pörner, Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	Iterative methods Newton methods Nonlinear programming Optimal control Optimization Regularization Regularization methods
Online-Zugang:	Volltext
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