DATA ASSIMILATION FOR NAVIER-STOKES USING THE LEAST-SQUARES FINITE-ELEMENT METHOD

DOI10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2018021021zbMath1498.76054arXiv1810.11337MaRDI QIDQ5052336

No author found.

Publication date: 24 November 2022

Published in: International Journal for Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.11337

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Navier-Stokes equations for incompressible viscous fluids (76D05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Finite element methods applied to problems in fluid mechanics (76M10) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Related Items (2)

3D modeling of generalized Newtonian fluid flow with data assimilation using the least-squares finite element method ⋮ Vectorial variational problems in L ^∞ constrained by the Navier–Stokes equations*

This page was built for publication: DATA ASSIMILATION FOR NAVIER-STOKES USING THE LEAST-SQUARES FINITE-ELEMENT METHOD