A Time-Dependent Parametrized Background Data-Weak Approach

DOI10.1007/978-3-030-55874-1_11zbMath1470.65180OpenAlexW3010362564MaRDI QIDQ5152799

Amina Benaceur

Publication date: 27 September 2021

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-55874-1_11

Mathematics Subject Classification ID

Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65M99)

Related Items (2)

State estimation in nonlinear parametric time dependent systems using tensor train ⋮ A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems

Cites Work

• PBDW: a non-intrusive reduced basis data assimilation method and its application to an urban dispersion modeling framework
• Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models
• A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics
• A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation
• Adaptive PBDW Approach to State Estimation: Noisy Observations; User-Defined Update Spaces
• Convergence Rates of the POD–Greedy Method

This page was built for publication: A Time-Dependent Parametrized Background Data-Weak Approach