A convergent hierarchy of SDP relaxations for a class of hard robust global polynomial optimization problems
N. H. Chieu, V. Jeyakumar, G. Li
| Year of publication: |
July 2017
|
|---|---|
| Authors: | Chieu, N. H. ; Jeyakumar, Vaithilingam ; Li, Guoyin |
| Published in: |
Operations research letters. - Amsterdam [u.a.] : Elsevier, ISSN 0167-6377, ZDB-ID 720735-9. - Vol. 45.2017, 4, p. 325-333
|
| Subject: | Robust optimization | Global polynomial optimization | Optimization under data uncertainty | Nonconvex optimization | Semi-definite programming relaxations | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.orl.2017.04.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011740347