On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems

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On Affine Scaling Inexact Dogleg Methods for Bound-constrained Nonlinear Systems on Affine Scaling Inexact Dogleg Methods for Bound-constrained Nonlinear Systems *

A class of trust-region methods for large scale bound-constrained systems of nonlinear equations is presented. The methods in this class follow the so called affine-scaling approach and can efficiently handle large scale problems. At each iteration, a suitably scaled region around the current approximate solution is defined and, within such a region, the norm of the linear model of F is trusted...

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On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems

A class of trust-region methods for large scale bound-constrained systems of nonlinear equations is presented. The methods in this class follow the so called affine-scaling approach and can efficiently handle large scale problems. At each iteration, a suitably scaled region around the current approximate solution is defined and, within such a region, the norm of the linear model of F is trusted...

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Within the framework of affine scaling trust-region methods for bound constrained problems, we discuss the use of a inexact dogleg method as a tool for simultaneously handling the trust-region and the bound constraints while seeking for an approximate minimizer of the model. Focusing on bound-constrained systems of nonlinear equations, an inexact affine scaling method for large scale problems, ...

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ژورنال

عنوان ژورنال: Optimization Methods and Software

سال: 2014

ISSN: 1055-6788,1029-4937

DOI: 10.1080/10556788.2014.955496