University of Illinois at Urbana-Champaign
A hybrid direct-iterative linear solver for chemical process simulation
Abstract
dc:descriptionThis dissertation presents the results of developing a hybrid direct-iterative linear solver to solve the sparse linear equation systems arising in chemical process simulation. The motivation for this work is to enable simulations of large, complex, and realistic models requiring the computing power of high performance machines. The objective is carried out by combining the reliability of direct sparse linear methods (e.g., Gaussian elimination) with the efficiency of iterative sparse linear methods (e.g., Krylov subspace methods). The new hybrid solver is implemented in the SEQUEL-II, ASPEN PLUS$\sp{\rm TM}$, and SPEEDUP$\sp{\rm TM}$ programs and evaluated in terms of its overall effectiveness in reducing the total simulation time.
Degree
thesis:*- 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
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Cofer, Haruna Nakamura
- Contributors dc:contributor
-
- Stadtherr, Mark A.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- Copyright 1995 Cofer, Haruna Nakamura
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9624321
(UMI)AAI9624321 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/19452