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Uncertainty Quantification and Statistics of Curves and Surfaces

  • Mohamed Bassi
  • Emmanuel Pagnacco
  • Eduardo Souza de CursiEmail author
Chapter
  • 8 Downloads
Part of the Studies in Computational Intelligence book series (SCI, volume 872)

Abstract

The analysis of the uncertainty and robustness of infinite dimensional objects such as functions, curves and surfaces is an emerging problem, which is requested, for instance, in uncertain multiobjective optimization. Indeed, the determination of statistics—such as the mean or standard deviation—of infinite dimensional objects involves probabilities in infinite dimensional spaces, what introduces operational difficulties. We examine two existing approaches and furnish some comparisons. It is shown that both are effective to calculate and that a mixed approach can produce gains analogous to those of uncertainty quantification of finite-dimensional objects.

Keywords

Uncertainties Multiobjective optimization Hybrid algorithms 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mohamed Bassi
    • 1
  • Emmanuel Pagnacco
    • 1
  • Eduardo Souza de Cursi
    • 1
    Email author
  1. 1.LMN, INSA Rouen NormandieNormandie UniversitéSaint-Étienne-du-RouvrayFrance

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