Email this article Dual form reduction in the atomic optimization method
- Authors: Pozdyayev V.V.1
-
Affiliations:
- Arzamas Polytechnic Institute of Alekseev Nizhny Novgorod State Technical University
- Issue: Vol 78, No 5 (2017)
- Pages: 940-952
- Section: Large Scale Systems Control
- URL: https://journals.rcsi.science/0005-1179/article/view/150607
- DOI: https://doi.org/10.1134/S0005117917050150
- ID: 150607
Cite item
Open Access
Access granted
Subscription Access
Abstract
One-dimensional optimization problems with a polynomial objective function and polynomial matrix inequality constraints are considered. For problems dual to their linear relaxations, a transformation is presented that makes them compatible with the atomic optimization method, both in its basic and in the generalized form with a reduced number of atoms.
About the authors
V. V. Pozdyayev
Arzamas Polytechnic Institute of Alekseev Nizhny Novgorod State Technical University
Author for correspondence.
Email: vpozdyayev@gmail.com
Russian Federation, Arzamas
Supplementary files
