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Title: High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners.

Abstract

Abstract not provided.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1504323
Report Number(s):
SAND2018-3056C
661666
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 15th Copper Mountain Conference on Iterative Methods held March 26-30, 2018 in Copper Mountain, CO.
Country of Publication:
United States
Language:
English

Citation Formats

Thomas, Stephen, Ananthan, Shreyas, Yellapantula, Shashank, Hu, Jonathan J., and Sprague, Michael A. High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners.. United States: N. p., 2018. Web.
Thomas, Stephen, Ananthan, Shreyas, Yellapantula, Shashank, Hu, Jonathan J., & Sprague, Michael A. High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners.. United States.
Thomas, Stephen, Ananthan, Shreyas, Yellapantula, Shashank, Hu, Jonathan J., and Sprague, Michael A. Thu . "High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners.". United States. https://www.osti.gov/servlets/purl/1504323.
@article{osti_1504323,
title = {High-fidelity simulation of wind-turbine incompressible flows with classical and aggregation AMG preconditioners.},
author = {Thomas, Stephen and Ananthan, Shreyas and Yellapantula, Shashank and Hu, Jonathan J. and Sprague, Michael A.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Conference:
Other availability
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