Abstract
DDASAC solves nonlinear initial-value problems involving stiff implicit systems of ordinary differential and algebraic equations. Purely algebraic nonlinear systems can also be solved, given an initial guess within the region of attraction of a solution. Options include automatic reconciliation of inconsistent initial states and derivatives, automatic initial step selection, direct concurrent parametric sensitivity analysis, and stopping at a prescribed value of any user-defined functional of the current solution vector. Local error control (in the max-norm or the 2-norm) is provided for the state vector and can include the sensitivities on request.
- Developers:
- Release Date:
- 1995-06-02
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Sponsoring Org.:
-
DOE/ERPrimary Award/Contract Number:FG02-84ER13291
- Code ID:
- 12493
- Site Accession Number:
- 2621
- Research Org.:
- Univ. of Wisconsin, Madison, WI (United States)
- Country of Origin:
- United States
Citation Formats
Warren, Stewart.
Double Precision Differential/Algebraic Sensitivity Analysis Code.
Computer Software.
DOE/ER.
02 Jun. 1995.
Web.
doi:10.11578/dc.20180626.2.
Warren, Stewart.
(1995, June 02).
Double Precision Differential/Algebraic Sensitivity Analysis Code.
[Computer software].
https://doi.org/10.11578/dc.20180626.2.
Warren, Stewart.
"Double Precision Differential/Algebraic Sensitivity Analysis Code." Computer software.
June 02, 1995.
https://doi.org/10.11578/dc.20180626.2.
@misc{
doecode_12493,
title = {Double Precision Differential/Algebraic Sensitivity Analysis Code},
author = {Warren, Stewart},
abstractNote = {DDASAC solves nonlinear initial-value problems involving stiff implicit systems of ordinary differential and algebraic equations. Purely algebraic nonlinear systems can also be solved, given an initial guess within the region of attraction of a solution. Options include automatic reconciliation of inconsistent initial states and derivatives, automatic initial step selection, direct concurrent parametric sensitivity analysis, and stopping at a prescribed value of any user-defined functional of the current solution vector. Local error control (in the max-norm or the 2-norm) is provided for the state vector and can include the sensitivities on request.},
doi = {10.11578/dc.20180626.2},
url = {https://doi.org/10.11578/dc.20180626.2},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20180626.2}},
year = {1995},
month = {jun}
}