| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 174116 | Computers & Chemical Engineering | 2006 | 7 Pages |
Abstract
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In this paper we describe the forward and adjoint methods for sensitivity analysis, and outline some of our recent work on theory, algorithms and software for sensitivity analysis of differential-algebraic equation (DAE) and time-dependent partial differential equation (PDE) systems.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Linda Petzold, Shengtai Li, Yang Cao, Radu Serban,