Abstract
The visualization of scientific data allows for a faster and better insight in measurements and numerical computations. In order to generate reliable image results, the rendering has to be based on an error control. Since many visualization techniques use linear approximation schemes, we give estimates of the approximation error in arbitrary dimensions. Our results can be considered as generalizations and improvements of already existing estimates for curves and surfaces.
Supported by the Deutsche Forschungsgemeinschaft, SFB 382
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© 1997 Springer-Verlag Berlin Heidelberg
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Strasser, W., Klein, R., Rau, R. (1997). Piecewise Linear Approximation for Scientific Data. In: Strasser, W., Klein, R., Rau, R. (eds) Geometric Modeling: Theory and Practice. Focus on Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60607-6_22
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DOI: https://doi.org/10.1007/978-3-642-60607-6_22
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