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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, p. 406-422Article in journal (Refereed) Published
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2015. Vol. 298, p. 406-422
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Computational Mathematics Computer Sciences
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URN: urn:nbn:se:uu:diva-256651DOI: 10.1016/j.jcp.2015.06.003ISI: 000358796700023OAI: oai:DiVA.org:uu-256651DiVA, id: diva2:826153
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eSSENCEUPMARCAvailable from: 2015-06-15 Created: 2015-06-24 Last updated: 2018-01-11Bibliographically approved

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Tillenius, MartinLarsson, ElisabethLehto, Erik
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