Sensor placement in nuclear reactors based on the generalized empirical interpolation method
type: Item
instance of: scholarly article
title: Sensor placement in nuclear reactors based on the generalized empirical interpolation method
zbMATH Open document ID: 1392.82075
author: Y. Aharonov
published in: Journal of Computational Physics
publication date: 2018-08-10T00:00:00Z
full work available at URL: https://basepub.dauphine.fr/handle/123456789/17415
Mathematics Subject Classification ID: 82D75
Mathematics Subject Classification ID: 65D05
Mathematics Subject Classification ID: 35B30
zbMATH DE Number: 6916342
zbMATH Keywords: generalized empirical interpolation method
zbMATH Keywords: sensor placement
zbMATH Keywords: data assimilation
zbMATH Keywords: nuclear safety
zbMATH Keywords: greedy algorithm
MaRDI profile type: Publication
OpenAlex ID: W2793127676
cites work: Model Reduction and Approximation
cites work: An `empirical interpolation' method: Application to efficient reduced-basis discretization of partial differential equations
cites work: A Generalized Empirical Interpolation Method: Application of Reduced Basis Techniques to Data Assimilation
cites work: The generalized empirical interpolation method: stability theory on Hilbert spaces with an application to the Stokes equation
cites work: A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics
cites work: Dynamic data-driven reduced-order models
cites work: Data Assimilation in Reduced Modeling
cites work: Convergence analysis of the generalized empirical interpolation method
cites work: Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models
cites work: A priori convergence theory for reduced-basis approximations of single-parameter elliptic partial differential equations
cites work: Kolmogorov widths under holomorphic mappings
cites work: Approximation of high-dimensional parametric PDEs
cites work: Locally Adaptive Greedy Approximations for Anisotropic Parameter Reduced Basis Spaces
cites work: Certified reduced basis approximation for parametrized partial differential equations and applications
cites work: A POD reduced-order model for eigenvalue problems with application to reactor physics
cites work: A POD reduced order model for resolving angular direction in neutron/photon transport problems
cites work: Numerical homogenization of a nonlinearly coupled elliptic-parabolic system, reduced basis method, and application to nuclear waste storage
cites work: PBDW state estimation: noisy observations; configuration-adaptive background spaces; physical interpretations
cites work: Stabilization of (G)EIM in presence of measurement noise: application to nuclear reactor physics
cites work: An Adaptive Parametrized-Background Data-Weak approach to variational data assimilation
DOI: 10.1016/J.JCP.2018.02.050
description: scientific article; zbMATH DE number 6916342