An interior-point trust-region-based method for large-scale non-negative regularization (2002)
by
Marielba Rojas
,
Trond Steihaug
| Venue: | Inverse Problems |
| Citations: | 5 - 1 self |
BibTeX
@TECHREPORT{Rojas02aninterior-point,
author = {Marielba Rojas and Trond Steihaug},
title = {An interior-point trust-region-based method for large-scale non-negative regularization},
institution = {Inverse Problems},
year = {2002}
}
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Abstract
Abstract We present a new method for solving large-scale quadratic problems with quadratic and nonnegativity constraints. Such problems arise for example in the regularization of ill-posed problems in image restoration where, in addition, some of the matrices involved are very ill-conditioned. The new method uses recently developed techniques for the large-scale trust-region subproblem.
