A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings
Richard C, Weber A (1999)
Publication Type: Book chapter / Article in edited volumes
Publication year: 1999
Publisher: Springer
Edited Volumes: Computer Algebra in Scientific Computing CASC’99
City/Town: Berlin, Heidelberg
Pages Range: 343-347
URI: http://link.springer.com/chapter/10.1007%2F978-3-642-60218-4_28
DOI: 10.1007/978-3-642-60218-4_28
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.
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APA:
Richard, C., & Weber, A. (1999). A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings. In Victor G. Ganzha, Ernst W. Mayr, Evgenii V. Vorozhtsov (Eds.), Computer Algebra in Scientific Computing CASC’99. (pp. 343-347). Berlin, Heidelberg: Springer.
MLA:
Richard, Christoph, and Andreas Weber. "A Symbolic Numeric Environment for Analyzing Measurement Data in Multi-Model Settings." Computer Algebra in Scientific Computing CASC’99. Ed. Victor G. Ganzha, Ernst W. Mayr, Evgenii V. Vorozhtsov, Berlin, Heidelberg: Springer, 1999. 343-347.
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