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A fast iterative solver for the variable coefficient diffusion equation on a disk

dc.citation.epage205en_US
dc.citation.issue1en_US
dc.citation.spage196en_US
dc.citation.volume208en_US
dc.citation.woscount5
dc.contributor.authorLai, MCen_US
dc.contributor.authorTseng, YHen_US
dc.contributor.department應用數學系zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.date.accessioned2014-12-08T15:18:36Z
dc.date.available2014-12-08T15:18:36Z
dc.date.issued2005-09-01en_US
dc.description.abstractWe present an efficient iterative method for solving the variable coefficient diffusion equation on a unit disk. The equation is written in polar coordinates and is discretized by the standard centered difference approximation under the grid arrangement by shifting half radial mesh away from the origin so that the coordinate singularity can be handled naturally without pole conditions. The resultant matrix is symmetric positive definite so the preconditioned conjugate gradient (PCG) method can be applied. Different preconditioners have been tested for comparison, in particular, a fast direct solver derived from the equation and the semi-coarsening multigrid are shown to be almost scalable with the problem size and outperform other preconditioners significantly. The present elliptic solver has been applied to study the vortex dynamics of the Ginzburg-Landau equation with a variable diffusion coefficient. (c) 2005 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/j.jcp.2005.02.005en_US
dc.identifier.issn0021-9991en_US
dc.identifier.journalJOURNAL OF COMPUTATIONAL PHYSICSen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jcp.2005.02.005en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/13383
dc.identifier.wosnumberWOS:000229786400010
dc.language.isoen_USen_US
dc.subjectvariable diffusion equationen_US
dc.subjectpolar coordinatesen_US
dc.subjectiterative methoden_US
dc.subjectGinzburg-Landau vorticesen_US
dc.titleA fast iterative solver for the variable coefficient diffusion equation on a disken_US
dc.typeArticleen_US

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