Enviar artigo por via de e-mail Numerical solution of huge-scale quasiseparable optimization problems
- Autores: Andrianov A.1, Anikin A.2, Bychkov I.2, Gornov A.2
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Afiliações:
- Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
- Edição: Volume 38, Nº 5 (2017)
- Páginas: 870-873
- Seção: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/199906
- DOI: https://doi.org/10.1134/S1995080217050031
- ID: 199906
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Resumo
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.
Sobre autores
A. Andrianov
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
Autor responsável pela correspondência
Email: and@a5.kiam.ru
Rússia, Moscow, 125047
A. Anikin
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Rússia, Irkutsk, 664033
I. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Rússia, Irkutsk, 664033
A. Gornov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
Rússia, Irkutsk, 664033
