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contributor authorSchoeberl, Mark R.
date accessioned2017-06-09T16:02:59Z
date available2017-06-09T16:02:59Z
date copyright1980/09/01
date issued1980
identifier issn0027-0644
identifier otherams-59713.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4200302
description abstractSeveral simple modifications of the Lindzen-Kuo Gaussian elimination algorithm for solving elliptic differential equations are derived. These modifications greatly decrease the auxiliary memory requirements with only some increase in computation, thus making this method suitable for solving general elliptic equations over large grids.
publisherAmerican Meteorological Society
titleDirect Elliptic Equation Solvers with Low Memory Requirements
typeJournal Paper
journal volume108
journal issue9
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1980)108<1402:DEESWL>2.0.CO;2
journal fristpage1402
journal lastpage1406
treeMonthly Weather Review:;1980:;volume( 108 ):;issue: 009
contenttypeFulltext


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