Numerical solution of huge-scale quasiseparable optimization problems
- 作者: Andrianov A.1, Anikin A.2, Bychkov I.2, Gornov A.2
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隶属关系:
- Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
- 期: 卷 38, 编号 5 (2017)
- 页面: 870-873
- 栏目: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/199906
- DOI: https://doi.org/10.1134/S1995080217050031
- ID: 199906
如何引用文章
详细
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.
作者简介
A. Andrianov
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
编辑信件的主要联系方式.
Email: and@a5.kiam.ru
俄罗斯联邦, Moscow, 125047
A. Anikin
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
俄罗斯联邦, Irkutsk, 664033
I. Bychkov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
俄罗斯联邦, Irkutsk, 664033
A. Gornov
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch
Email: and@a5.kiam.ru
俄罗斯联邦, Irkutsk, 664033
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