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Errors Generated by Uncertain Data

  • Chapter
Accuracy Verification Methods

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 32))

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Abstract

In this chapter, we study effects caused by incompletely known data. In practice, the data are never known exactly, therefore the results generated by a mathematical model also have a limited accuracy. Then, the whole subject of error analysis should be treated in a different manner, and accuracy of numerical solutions should be considered within a framework of a more complicated scheme, which includes such notions as maximal and minimal distances to the solution set and its radius.

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Authors and Affiliations

  1. Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland

    Olli Mali & Pekka Neittaanmäki

  2. Steklov Institute of Mathematics, Russian Academy of Sciences, St. Petersburg, Russia

    Sergey Repin

  3. University of Jyväskylä, Jyväskylä, Finland

    Sergey Repin

Authors
  1. Olli Mali
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  2. Pekka Neittaanmäki
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  3. Sergey Repin
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Mali, O., Neittaanmäki, P., Repin, S. (2014). Errors Generated by Uncertain Data. In: Accuracy Verification Methods. Computational Methods in Applied Sciences, vol 32. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7581-7_5

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  • DOI: https://doi.org/10.1007/978-94-007-7581-7_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7580-0

  • Online ISBN: 978-94-007-7581-7

  • eBook Packages: EngineeringEngineering (R0)

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