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

In: Computer Algebra in Scientific Computing CASC’99

Author

Listed:
  • Christoph Richard

    (Universität Tübingen, Institut für Theoretische Physik)

  • Andreas Weber

    (Universitat Tubingen, Arbeitsbereich Symbolisches Rechnen)

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.

Suggested Citation

  • Christoph Richard & Andreas Weber, 1999. "A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings (Extended Abstract)," Springer Books, in: Victor G. Ganzha & Ernst W. Mayr & Evgenii V. Vorozhtsov (ed.), Computer Algebra in Scientific Computing CASC’99, pages 343-347, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-60218-4_28
    DOI: 10.1007/978-3-642-60218-4_28
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