Applying analytical derivative and sparse matrix techniques to large-scaleprocess optimization problems

Authors
Zhong, WT Shao, ZJ Zhang, YY Qian, JX
Citation
Wt. Zhong et al., Applying analytical derivative and sparse matrix techniques to large-scaleprocess optimization problems, CHIN J CH E, 8(3), 2000, pp. 212-217
Citations number
17
Categorie Soggetti
Chemical Engineering
Journal title
CHINESE JOURNAL OF CHEMICAL ENGINEERING
ISSN journal
10049541 → ACNP
Volume
8
Issue
3
Year of publication
2000
Pages
212 - 217
Database
ISI
SICI code
1004-9541(200009)8:3<212:AADASM>2.0.ZU;2-4
Abstract
The performance of analytical derivative and sparse matrix techniques appli ed to a traditional dense sequential quadratic programming (SQP) is studied , and the strategy utilizing those techniques is also presented. Computatio nal. results on two typical chemical optimization problems demonstrate sign ificant enhancement in efficiency, which shows this strategy is promising a nd suitable for large-scale process optimization problems.