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An Interval Constraint Approach to Handle Parametric Ordinary Differential Equations for Decision Support

  • Conference paper
Principles and Practice of Constraint Programming – CP’99 (CP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1713))

Abstract

Model-based decision support systems rely on an explicit representation of some system whose dynamics is often qualitatively described by specifying the rates at which the system variables change. Such models are naturally represented as a set of ordinary differential equations (ODEs) which are parametric (they include parameters whose value is not known exactly). If safe decisions are to be made based on the values of these parameters, it is important to know them with sufficient precision.

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References

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Author information

Authors and Affiliations

  1. Dep. de Informática, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Jorge Cruz & Pedro Barahona

Authors
  1. Jorge Cruz
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  2. Pedro Barahona
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Editor information

Editors and Affiliations

  1. School of Computing, National University of Singapore, 117543, Republic of Singapore

    Joxan Jaffar

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© 1999 Springer-Verlag Berlin Heidelberg

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Cruz, J., Barahona, P. (1999). An Interval Constraint Approach to Handle Parametric Ordinary Differential Equations for Decision Support. In: Jaffar, J. (eds) Principles and Practice of Constraint Programming – CP’99. CP 1999. Lecture Notes in Computer Science, vol 1713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48085-3_35

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  • DOI: https://doi.org/10.1007/978-3-540-48085-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66626-4

  • Online ISBN: 978-3-540-48085-3

  • eBook Packages: Springer Book Archive

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