Continuous data assimilation for the 3D Ladyzhenskaya model: analysis and computations
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Publication:2171193
DOI10.1016/j.nonrwa.2022.103659zbMath1504.35300arXiv2108.03513OpenAlexW3192540270MaRDI QIDQ2171193
Ali Pakzad, Yu Cao, Andrea Giorgini, Michael S. Jolly
Publication date: 23 September 2022
Published in: Nonlinear Analysis. Real World Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2108.03513
Non-Newtonian fluids (76A05) PDEs in connection with fluid mechanics (35Q35) Navier-Stokes equations for incompressible viscous fluids (76D05) Direct numerical and large eddy simulation of turbulence (76F65)
Related Items (3)
Accelerating and enabling convergence of nonlinear solvers for Navier-Stokes equations by continuous data assimilation ⋮ Removing Splitting/Modeling Error in Projection/Penalty Methods for Navier-Stokes Simulations with Continuous Data Assimilation ⋮ Super-exponential convergence rate of a nonlinear continuous data assimilation algorithm: the 2D Navier-Stokes equation paradigm
Uses Software
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