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The Visualisation of Numerical Computation

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Visualization in Scientific Computing

Part of the book series: Focus on Computer Graphics ((FOCUS COMPUTER))

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Abstract

Parallel processing has now made tractable the numerical solution of large complex mathematical models which are derived from across a whole spectrum of disciplines. Such powerful processing capabilities usually result in a vast amount of data being produced. However full value for this advance can only be realised if the engineer has an effective means of visualising the solution obtained. We need to develop efficient and effective ways of integrating numerical computation and graphical techniques.

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References

  1. T R Hopkins. NAG Spline Fitting Routines on a Graphics Workstation — the Story so far. Technical report, University of Kent Computing Laboratory, 1990. (due to be published September 1990).

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  2. B H McCormick, T A Defanti, and M D Brown. Visualisation in Scientific Computing. Computer Graphics, 21(6), November 1987. special issue.

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  3. F Richard. Graphical Analysis of complex O.D.E Solutions. Computer Graphics Forum, 6(4):335–341, December 1987.

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  4. A M Tuchman and M W Berry. Matrix Visualisation in the Design of Numerical Algorithms. ORSA Journal on Computing, 2(1), 1990.

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  5. C Upson and et al. The Application Visualisation System: A Computational Environment for Scientific Visualisation. IEEE Computer Graphics and Applications, pages 30–41, July 1989.

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© 1994 EUROGRAPHICS The European Association for Computer Graphics

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Carpenter, L. (1994). The Visualisation of Numerical Computation. In: Grave, M., Le Lous, Y., Hewitt, W.T. (eds) Visualization in Scientific Computing. Focus on Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77902-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-77902-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77904-6

  • Online ISBN: 978-3-642-77902-2

  • eBook Packages: Springer Book Archive

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