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LEADER: 02334nam a22004455a 4500
001 013841982-5
005 20131206202639.0
008 121227s2003 gw | s ||0| 0|eng d
020 $a9783642182372
020 $a9783642182372
020 $a9783540014386
024 7 $a10.1007/978-3-642-18237-2$2doi
035 $a(Springer)9783642182372
040 $aSpringer
050 4 $aQA71-90
072 7 $aPDE$2bicssc
072 7 $aCOM014000$2bisacsh
072 7 $aMAT003000$2bisacsh
082 04 $a004$223
100 1 $aLangtangen, Hans Petter,$eeditor.
245 10 $aAdvanced Topics in Computational Partial Differential Equations :$bNumerical Methods and Diffpack Programming /$cedited by Hans Petter Langtangen, Aslak Tveito.
264 1 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2003.
300 $aXIX, 663 p.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aLecture Notes in Computational Science and Engineering,$x1439-7358 ;$v33
520 $aThe book is suitable for readers with a background in basic finite element and finite difference methods for partial differential equations who wants gentle introductions to advanced topics like parallel computing, multigrid methods, and special methods for systems of PDEs. The goal of all chapters is to *compute* solutions to problems, hence algorithmic and software issues play a central role. All software examples use the Diffpack programming environment, so to take advantage of these examples some experience with Diffpack is required. There are also some chapters covering complete applications, i.e., the way from a model, expressed as systems of PDEs, through discretization methods, algorithms, software design, verification, and computational examples.
650 20 $aDifferential equations, Partial.
650 10 $aMathematics.
650 0 $aMathematics.
650 0 $aDifferential equations, partial.
650 0 $aComputer science.
650 24 $aComputational Science and Engineering.
700 1 $aTveito, Aslak,$eeditor.
776 08 $iPrinted edition:$z9783540014386
830 0 $aLecture Notes in Computational Science and Engineering ;$v33.
988 $a20131119
906 $0VEN