Author： KÄRKKÄINEN T. Majava K.
Publisher： Springer Publishing Company
ISSN： 0022-3239
Source： Journal of Optimization Theory and Applications, Vol.106, Iss.1, 2000-07, pp. : 61-80
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Abstract
Active-set methods based on augmented Lagrangian smoothing of nondifferentiable optimization problems arising in image restoration are discussed. One-dimensional image restoration problems and two different formulations of two-dimensional image restoration problems are given. Both nonmonotone and monotone active-set algorithms are described and finite-step convergence of the algorithms is considered.
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