ASCEND

ASCEND is an open source, mathematical modelling chemical process modelling system developed at Carnegie Mellon University since late 1978.[1][2] ASCEND is an acronym which stands for Advanced System for Computations in Engineering Design. Its main uses have been in the field of chemical process modelling although its capabilities are general.[3]

ASCEND
Developer(s)the ASCEND team
Stable release
0.9.8 / April 30, 2012 (2012-04-30)
Written inC, Python, Tcl/Tk, C++
Operating systemLinux, Windows (and partial support for Mac OS X)
Typemathematical modelling
LicenseGPL (free software)
Websiteascend4.org

ASCEND includes nonlinear algebraic solvers, differential/algebraic equation solvers, nonlinear optimization and modelling of multi-region 'conditional models'. Its matrix operations are supported by an efficient sparse matrix solver called mtx.

ASCEND differs from earlier modelling systems because it separates the solving strategy from model building. So domain experts (people writing the models) and computational engineers (people writing the solver code) can work separately in developing ASCEND. Together with a number of other early modelling tools, its architecture helped to inspire newer languages such as Modelica.[4][5] It was recognised for its flexible use of variables and parameters, which it always treats as solvable, if desired[6]

The software remains as an active open-source software project, and has been part of the Google Summer of Code programme in 2009, 2010, 2011, 2012, 2013 (under the Python Software Foundation) and has been accepted for the 2015 programme as well.[7]

See also

References

  1. Piela, McKelvey; Westerberg (1992). "An introduction to ASCEND: its language and interactive environment". Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences. pp. 449–461 vol.3. doi:10.1109/HICSS.1992.183516. ISBN 978-0-8186-2420-9. S2CID 8826245.
  2. History of ASCEND from the ASCEND website
  3. ASCEND bibliography Archived October 14, 2010, at the Wayback Machine
  4. Elmqvist, Mattsson; Otter (1999). "Modelica-a language for physical system modeling, visualization and interaction". Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404) (PDF). pp. 630–639. doi:10.1109/CACSD.1999.808720. ISBN 978-0-7803-5500-2. S2CID 10039831.
  5. Karl Johan Åström, 2001 Control of complex systems, Springer
  6. Sinha, R.; Liang, V.C.; Paredis, C.J.J.; Khosla, P.K. (2001). "Modeling and Simulation Methods for Design of Engineering Systems". Journal of Computing and Information Science in Engineering. 1: 84–91. CiteSeerX 10.1.1.64.4463. doi:10.1115/1.1344877.
  7. "Google Summer of Code 2013".



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