Мақаланы E-mail арқылы жіберу Numerical solution of huge-scale quasiseparable optimization problems
- Авторлар: Andrianov A.1, Anikin A.2, Bychkov I.2, Gornov A.2
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Мекемелер:
- Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
- Шығарылым: Том 38, № 5 (2017)
- Беттер: 870-873
- Бөлім: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/199906
- DOI: https://doi.org/10.1134/S1995080217050031
- ID: 199906
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Тек жазылушылар үшін
Аннотация
The paper studies approaches to numerical solving huge-scale quasiseparable optimization problems. The main idea is based on using gradient methods with simple iteration structure instead more intelligent techniques, which is widely used for solving traditional, small-sized problems. The results of numerical experiments for a number of test quasiseparable optimization problems with dimensions up to 1010 variables are presented.
Авторлар туралы
A. Andrianov
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
Хат алмасуға жауапты Автор.
Email: and@a5.kiam.ru
Ресей, Moscow, 125047
A. Anikin
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Ресей, Irkutsk, 664033
I. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Ресей, Irkutsk, 664033
A. Gornov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Ресей, Irkutsk, 664033
