Least Relative Change Quasi-Newton Updates for Chemical Engineering Process Optimization

Advances in supercomputer architectures and mathematics have enhanced the performance of the equation-based approach in chemical engineering process simulation and design problems. However, the progress in the area of large-scale optimization is achieved at a slower pace thanks to difficulties in approximation of the sparse symmetric Hessian matrix by using traditional sparse least absolute change quasi-Newton updates.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Chemical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Nguyen, Thai Dong

Contributors dc:contributor

• Stadtherr, Mark A.

• Engineering, Chemical
• Operations Research

Identifier

(UMI)AAI9411730

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/72147