Non-intrusive reduced-order modeling of parameterized electromagnetic scattering problems using cubic spline interpolation
type: Item
instance of: scholarly article
title: Non-intrusive reduced-order modeling of parameterized electromagnetic scattering problems using cubic spline interpolation
zbMATH Open document ID: 1472.65122
author: Kun Li
author: Ting-Zhu Huang
author: Liang Li
author: Stéphane Lanteri
published in: Journal of Scientific Computing
publication date: 2021-05-17T00:00:00Z
full work available at URL: pod csi maxwell.pdf
Mathematics Subject Classification ID: 65M60
Mathematics Subject Classification ID: 65M06
Mathematics Subject Classification ID: 65N30
Mathematics Subject Classification ID: 65D07
Mathematics Subject Classification ID: 65M99
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 78A45
Mathematics Subject Classification ID: 78M34
Mathematics Subject Classification ID: 78M10
Mathematics Subject Classification ID: 78M20
Mathematics Subject Classification ID: 35Q60
zbMATH DE Number: 7348628
zbMATH Keywords: non-intrusive reduced-order modeling
zbMATH Keywords: reduced basis method
zbMATH Keywords: proper orthogonal decomposition
zbMATH Keywords: cubic spline interpolation
zbMATH Keywords: parameterized electromagnetic scattering problems
zbMATH Keywords: discontinuous Galerkin method
MaRDI profile type: Publication
OpenAlex ID: W3141362017
cites work: Certified Reduced Basis Methods for Parametrized Partial Differential Equations
cites work: Data-driven reduced order modeling for time-dependent problems
cites work: Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems
cites work: Computing parametrized solutions for plasmonic nanogap structures
cites work: Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media
cites work: Q5756148
cites work: A survey of projection-based model reduction methods for parametric dynamical systems
cites work: Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
cites work: Efficient reduced models anda posteriorierror estimation for parametrized dynamical systems by offline/online decomposition
cites work: Efficient greedy algorithms for high-dimensional parameter spaces with applications to empirical interpolation and reduced basis methods
cites work: Turbulence and the dynamics of coherent structures. I. Coherent structures
cites work: A New Look at Proper Orthogonal Decomposition
cites work: Q3529238
cites work: A state space error estimate for POD-DEIM nonlinear model reduction
cites work: POD-based model order reduction with an adaptive snapshot selection for a discontinuous Galerkin approximation of the time-domain Maxwell's equations
cites work: Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations
cites work: Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
cites work: POD Galerkin schemes for nonlinear elliptic-parabolic systems
cites work: POD-Galerkin reduced-order modeling with adaptive finite element snapshots
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cites work: POD-Galerkin model order reduction for parametrized time dependent linear quadratic optimal control problems in saddle point formulation
cites work: Model order reduction for linear and nonlinear systems: a system-theoretic perspective
cites work: Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction
cites work: Modeling and control of physical processes using proper orthogonal decomposition
cites work: POD/DEIM reduced-order modeling of time-fractional partial differential equations with applications in parameter identification
cites work: A reduced-order extrapolated finite difference iterative method for the Riemann-Liouville tempered fractional derivative equation
cites work: HDG-POD reduced order model of the heat equation
cites work: Adaptive non-intrusive reduced order modeling for compressible flows
cites work: A nonintrusive reduced basis method applied to aeroacoustic simulations
cites work: Non-intrusive reduced order modeling of nonlinear problems using neural networks
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cites work: Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations
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cites work: Model Reduction With MapReduce-enabled Tall and Skinny Singular Value Decomposition
cites work: Non intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifold
cites work: Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics
cites work: A hybrid reduced order method for modelling turbulent heat transfer problems
cites work: A comparison of the \(E(3)\) and not-a-knot cubic splines
cites work: Discontinuous Galerkin discretizations of optimized Schwarz methods for solving the time-harmonic Maxwell's equations
DOI: 10.1007/S10915-021-01467-2
description: scientific article; zbMATH DE number 7348628