wiki:Diva

Version 4 (modified by mirschel, 16 years ago) (diff)

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Diva

Is a simulation environment, developed from around 1985 at the ISR (now ISYS) at the University of Stuttgart. Diva combines different numerical algorithms developed in Fortran with an abstract model and a command-line interface.

Publications

  • Holl, P., Marquardt, W. and Gilles, E.D., 1988.
    DIVA – A powerful tool for dynamic process simulation (1988)
    Computers in Chemical Engineering 12, pp. 421–425.
  • Kröner, A., Holl, P., Marquardt, W. and Gilles, E.D.
    DIVA–An open architecture for dynamic simulation (1990)
    Computers in Chemical Engineering 14, pp. 1289–1295
  • Mohl, K. D., Spieker, A., Köhler, R., Gilles, E. D., Zeitz, M.
    DIVA - a simulation environment for chemical engineering applications (1997)
    Conference-Paper, Donetsk State Technical University
    http://edoc.mpg.de/113145
  • Mohl, K. D., Spieker, A., Stein, E., Gilles, E. D.
    DIVA – Eine Umgebung zur Simulation, Analyse und Optimierung verfahrenstechnischer Prozesse (1997)
    In Kuhn, A., & Wenzel, S., Simulationstechnik, 11. ASIM-Symposium in Dortmund, 278–283.
    Vieweg Verlag, Braunschweig/Wiesbaden?
  • Köhler, R., Räumschüssel, S. and Zeitz, M.
    Code generator for implementing differential algebraic models used in the process simulation tool DIVA (1997)
    In: Sydow, A. Editor, , 1997. 15th IMACS world congress, vol. 3,
    Wissenschaft und Technik Verlag, Berlin, Germany, pp. 621–626.

Requirements

DIVA uses some commercial libraries for numerical computation. However it can be compiled without these libraries, resulting in a working simulator with limited functionality.
Especially some integrators and optimization and parameter estimation routines will not work.

  • The Harwell Sparse Matrix Library is used for solving of linearized systems in some integrators (e.g. routine MA48)
  • The NAG Fortran Library is used especially for dynamic and steady-state optimization. This includes also parameter estimation, but therefore also a free genetic algorithm is available.