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A scalable RBF–FD method for atmospheric flow
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
2015 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 298, 406-422 p.Article in journal (Refereed) Published
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2015. Vol. 298, 406-422 p.
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Computational Mathematics Computer Science
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URN: urn:nbn:se:uu:diva-256651DOI: 10.1016/j.jcp.2015.06.003ISI: 000358796700023OAI: oai:DiVA.org:uu-256651DiVA: diva2:826153
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eSSENCEUPMARC
Available from: 2015-06-15 Created: 2015-06-24 Last updated: 2017-12-04Bibliographically approved

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Tillenius, MartinLarsson, ElisabethLehto, Erik
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