Analysis of PDEs

[311] A random particle blob method for the Keller-Segel equation and convergence analysis

Jian-Guo Liu Duke University Rong Yang Beijing University of Technology

Analysis of PDEs mathscidoc:1702.03016

MATHEMATICS OF COMPUTATION, 86, (304), 725–745, 2017.2
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[312] Asymptotic-Preserving schemes for kinetic-fluid modeling of disperse two-phase flows

Thierry Goudon CNRS & Université Nice Sophia Antipolis, France Shi Jin Ministry of Education Key Laboratory of Scientific and Engineering Computing Jian-Guo Liu Duke University Bokai Yan University of California

Analysis of PDEs mathscidoc:1702.03043

Journal of Computational Physics, 246, (1), 145–164, 2013.8
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[313] Kazdan-Warner equation on graph

Alexander Grigor’yan Department of Mathematics, University of Bielefeld, 33501, Bielefeld, Germany Yong Lin Department of Mathematics, Renmin University of China, Beijing, 100872, People’s Republic of China Yunyan Yang Department of Mathematics, Renmin University of China, Beijing, 100872, People’s Republic of China

Analysis of PDEs mathscidoc:2207.03001

Calculus of Variations and Partial Differential Equations, 55, (92), 2016.7
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[314] A coupled chemotaxis-fluid model: Global existence

Jian-Guo Liu Duke University Alexander Lorz University of Cambridge

Analysis of PDEs mathscidoc:1702.03052

Annales de l'Institut Henri Poincare (C) Non Linear Analysis, 28, (5), 643–652, 2011.9
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[315] A note on Monge–Amp`ere Keller–Segel equation

Hui Huang Tsinghua University Jian-Guo Liu Duke University

Analysis of PDEs mathscidoc:1702.03024

Applied Mathematics Letters, 11, 26–34, 2016.11
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