ML-α-Deconvolution Model in a Bounded Domain with a Vertical Regularization
From MaRDI portal
Publication:3459691
DOI10.1007/978-3-319-12307-3_2zbMath1337.76049OpenAlexW2284775926MaRDI QIDQ3459691
Publication date: 11 January 2016
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-12307-3_2
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Ladder theorem and length-scale estimates for a Leray alpha model of turbulence
- On a critical Leray-\(\alpha\) model of turbulence
- Approximate deconvolution model in a bounded domain with vertical regularization
- A HIGH ACCURACY LERAY-DECONVOLUTION MODEL OF TURBULENCE AND ITS LIMITING BEHAVIOR
- Theory for the rotational deconvolution model of turbulence with fractional regularization
- Numerical analysis and computational testing of a high accuracy Leray‐deconvolution model of turbulence
- A modified-Leray-α subgrid scale model of turbulence
This page was built for publication: ML-α-Deconvolution Model in a Bounded Domain with a Vertical Regularization