ARGESIM is organising together with TU Wien, Mathematical Modelling Group of Institute for Analysis and Scientific Computing, and with the Automation and Control Institute (all in co-operation with ASIM, the German Simulation Society), the triannual conference MATHMOD Vienna, a forum for professionals, researchers, and experts in the field of theoretic and applied aspects of mathematical modelling for systems of dynamic nature - www.mathmod.at

Since 2012 the proceedings (full papers) of the Mathmod Conferences have been published by IFAC.

Proceedings of MATHMOD Conferences

MATHMOD 2003 Proceedings

I. Troch, F. Breitenecker (Eds.)

ARGESIM Report 24, Abstracts Volume, ISBN print: 978-3-901608-24-7, ISBN e-book: 978-3-901608-23-0; DOI: 10.11128/arep.24
ARGESIM Report 26: Full Papers Volume (html/PDF), ISBN e-book: 978-3-901608-26-1, DOI: 10.11128/arep.26;
ASIM Mitteilung 86B

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MATHMOD 2000 Proceedings

I. Troch, F. Breitenecker (Eds.)

ARGESIM Report 16, ISBN print: 978-3-901608-15-5, ISBN e-book: 978-3-901608-16-2; DOI: 10.11128/arep.16; ASIM Mitteilung 72B

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MATHMOD 1997 Proceedings

I. Troch, F. Breitenecker (Eds.)

ARGESIM Report 15, ISBN print: 978-3-901608-11-7, ISBN e-book: 978-3-901608-09-4; DOI: 10.11128/arep.15; ASIM Mitteilung 57B

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MATHMOD 1994 Proceedings

I. Troch, F. Breitenecker (Eds.)

ARGESIM Report 11, ISBN print: 978-3-901608-00-1, ISBN e-book: 978-3-901608-02-5; DOI: 10.11128/arep.11; ASIM Mitteilung 40B

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Scope of MATHMOD Vienna Conference Series

The scope of MATHMOD conference series covers theoretic and applied aspects of the various types of mathematical modelling (equations of various types, automata, Petri nets, bond graphs, qualitative and fuzzy models, etc.) for systems of dynamic nature (deterministic, stochastic, continuous, discrete or hybrid with respect to time, etc.). The topics to be discussed include e.g.

  • modelling theory; first-principles, identification, optimization, order reduction and validation
  • automation of modelling and software tools
  • computer modelling, modelling for/by simulation, co-simulation, modelling standards
  • qualitative, modular, interdisciplinary modelling
  • comparison of methods for modelling, alternative modelling methods (CAS, fuzzy, NN, QSS, etc.)
  • model analysis and calibration, effects of modelling errors on overall performance of an engineering system
  • applications in the field of engineering systems and in natural sciences
  • applications in environmental systems, biotechnology, etc.
  • applications in operation research, logistics and planning
  • applications in medicine, physiology, health care and health technology assessment
  • education in/for/with modelling
  • modelling aspects in scientific computing
  • modelling for control and real-time applications