Stabilization of (G)EIM in Presence of Measurement Noise: Application to Nuclear Reactor Physics

  • J. P. ArgaudEmail author
  • B. Bouriquet
  • H. Gong
  • Y. Maday
  • O. Mula
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 119)


The Empirical Interpolation Method (EIM) and its generalized version (GEIM) can be used to approximate a physical system by combining data measured from the system itself and a reduced model representing the underlying physics. In presence of noise, the good properties of the approach are blurred in the sense that the approximation error no longer converges but even diverges. We propose to address this issue by a least-squares projection with constrains involving some a priori knowledge of the geometry of the manifold formed by all the possible physical states of the system. The efficiency of the approach, which we will call Constrained Stabilized GEIM (CS-GEIM), is illustrated by numerical experiments dealing with the reconstruction of the neutron flux in nuclear reactors. A theoretical justification of the procedure will be presented in future works.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • J. P. Argaud
    • 1
    Email author
  • B. Bouriquet
    • 1
  • H. Gong
    • 1
  • Y. Maday
    • 2
    • 3
    • 4
  • O. Mula
    • 5
  1. 1.R&D, Électricité de FrancePalaiseauFrance
  2. 2.Labo. J.-L. LionsSorbonne Université, UPMC Univ Paris 06, UMR 7598ParisFrance
  3. 3.Institut Universitaire de FranceParisFrance
  4. 4.Division of Applied MathematicsBrown UniversityProvidenceUSA
  5. 5.CEREMADEPSL Research University, CNRS, UMR 7534, Université Paris-DauphineParisFrance

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