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A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings (Extended Abstract)

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Computer Algebra in Scientific Computing CASC’99

Abstract

We have built a complete system which allows the analysis of measurement data arising from scientific experiments. Within the system, it is possible to fit parameter-dependent curves to given data points numerically in order to obtain estimates of experimental quantities. The system provides moreover a convenient tool to test different theoretical models against a given experiment: We use the computer algebra system Maple not only as a graphical interface to visualize the data but mainly as a symbolic calculator to investigate and to implement solutions of the underlying theory. The system has been used successfully in a project with researchers from the department of chemistry.

Supported by Deutsche Forschungsgemeinschaft under grant Ku 966/6-1.

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References

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Author information

Authors and Affiliations

  1. Institut für Theoretische Physik, Universität Tübingen, 72076, Tübingen, Germany

    Christoph Richard

  2. Arbeitsbereich Symbolisches Rechnen, Universitat Tubingen, 72076, Tübingen, Germany

    Andreas Weber

Authors
  1. Christoph Richard
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  2. Andreas Weber
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Editor information

Editors and Affiliations

  1. Institut für Informatik, Technische Universität, D-80290, München, Germany

    Victor G. Ganzha

  2. Institut für Informatik, Technische Universität, D-80290, München, Germany

    Ernst W. Mayr

  3. Institute of Theoretical and Applied Mathematics, Russian Academy of Sciences, 630090, Novosibirsk, Russia

    Evgenii V. Vorozhtsov

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© 1999 Springer-Verlag Berlin Heidelberg

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Richard, C., Weber, A. (1999). A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings (Extended Abstract). In: Ganzha, V.G., Mayr, E.W., Vorozhtsov, E.V. (eds) Computer Algebra in Scientific Computing CASC’99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60218-4_28

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  • DOI: https://doi.org/10.1007/978-3-642-60218-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66047-7

  • Online ISBN: 978-3-642-60218-4

  • eBook Packages: Springer Book Archive

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