| Автор | Ito, Kazufumi |
| Автор | Kunisch, Karl |
| Дата выпуска | 1999 |
| dc.description | Lagrangian and augmented Lagrangian methods for nondifferentiable optimization problems that arise from the total bounded variation formulation of image restoration problems are analyzed. Conditional convergence of the Uzawa algorithm and unconditional convergence of the first order augmented Lagrangian schemes are discussed. A Newton type method based on an active set strategy defined by means of the dual variables is developed and analyzed. Numerical examples for blocky signals and images perturbed by very high noise are included. |
| Формат | application.pdf |
| Издатель | EDP Sciences |
| Копирайт | © EDP Sciences, SMAI, 1999 |
| Название | An active set strategy based on the augmented Lagrangian formulation for image restoration |
| Тип | research-article |
| DOI | 10.1051/m2an:1999102 |
| Electronic ISSN | 1290-3841 |
| Print ISSN | 0764-583X |
| Журнал | ESAIM: Mathematical Modelling and Numerical Analysis |
| Том | 33 |
| Первая страница | 1 |
| Последняя страница | 21 |
| Аффилиация | Ito Kazufumi; Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA. |
| Аффилиация | Kunisch Karl; Institut für Mathematik, Universität Graz, 8010 Graz, Austria. |
| Выпуск | 1 |
