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Title: An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number

Authors:
ORCiD logo [1];  [2]
  1. Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla Missouri 65409-0020
  2. Department of Scientific Computing, Florida State University, Tallahassee Florida 32306-4120
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1472199
Grant/Contract Number:  
SC0009324; SC0010678
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Numerical Methods for Partial Differential Equations
Additional Journal Information:
Journal Name: Numerical Methods for Partial Differential Equations Journal Volume: 34 Journal Issue: 6; Journal ID: ISSN 0749-159X
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Jiang, Nan, and Schneier, Michael. An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number. United States: N. p., 2018. Web. doi:10.1002/num.22281.
Jiang, Nan, & Schneier, Michael. An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number. United States. doi:10.1002/num.22281.
Jiang, Nan, and Schneier, Michael. Sun . "An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number". United States. doi:10.1002/num.22281.
@article{osti_1472199,
title = {An efficient, partitioned ensemble algorithm for simulating ensembles of evolutionary MHD flows at low magnetic Reynolds number},
author = {Jiang, Nan and Schneier, Michael},
abstractNote = {},
doi = {10.1002/num.22281},
journal = {Numerical Methods for Partial Differential Equations},
issn = {0749-159X},
number = 6,
volume = 34,
place = {United States},
year = {2018},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/num.22281

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

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