Applying Analytical Derivative and Sparse Matrix Techniques to Large-Scale Process Optimization Problems

被引：0
|
作者：
仲卫涛
邵之江
张余岳
钱积新
机构：
来源：
ChineseJournalofChemicalEngineering | 2000年 / 03期
基金：
中国国家自然科学基金;
关键词：
large-scale optimization; open-equation; sequential quadratic programming; analytical derivative; sparse matrix technique;
D O I：
暂无
中图分类号：
TQ021.8 [化学工程最佳化与系统工程];
学科分类号：
摘要：
The performance of analytical derivative and sparse matrix techniques applied to a traditional densesequential quadratic programming (SQP) is studied,and the strategy utilizing those techniques is also presented.Computational results on two typical chemical optimization problems demonstrate significant enhancement in effi-ciency,which shows this strategy is promising and suitable for large-scale process optimization problems.
引用
收藏
页码：28 / 33
页数：6
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