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Stable quadratic minimization methods under linear or quadratic constraintsтезисы доклада
- Автор: Potapov M.M.
- Сборник: Abstracts of the International Conference on Ill-posed and Inverse Problems dedicated to Prof. M.M. Lavrent'ev on occasion of his 70th anniversary. Sobolev Institute
- Тезисы
- Год издания: 2002
- Место издания: Novosibirsk
- Первая страница: 129
- Последняя страница: 129
- Аннотация: Quadratic functional minimization problems with constraints in Hilbert space are considered. The feasible set is either a polyhedron or an ellipsoid. The dependence of the approximate solution accuracy on error level in initial data is investigated.
- Добавил в систему: Потапов Михаил Михайлович