A variational approach for parameter estimation based on balanced proper orthogonal decomposition

DOI10.1016/j.cma.2018.10.013zbMath1441.65003OpenAlexW2898330850MaRDI QIDQ1986731

M. F. McCabe, M. Umer Altaf

Publication date: 9 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2018.10.013

zbMATH Keywords

proper orthogonal decompositionmodel order reduction4DVAR

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A reduced adjoint approach to variational data assimilation
• Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair
• Four-dimensional variational data assimilation for high resolution nested models
• Reduced bases for model updating in structural dynamics based on constitutive relation error
• Dynamic data-driven reduced-order models
• Model-reduced gradient-based history matching
• The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: an overview
• Real-time updating of structural mechanics models using Kalman filtering, modified constitutive relation error, and proper generalized decomposition
• Principal component analysis in linear systems: Controllability, observability, and model reduction
• Identification of shallow sea models
• Reduced order borehole induction modelling
• MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
• Model Order Reduction by Balanced Proper Orthogonal Decomposition and by Rational Interpolation
• Approximation of Large-Scale Dynamical Systems
• Modeling and control of physical processes using proper orthogonal decomposition

This page was built for publication: A variational approach for parameter estimation based on balanced proper orthogonal decomposition