| Record ID | marc_loc_2016/BooksAll.2016.part40.utf8:185809008:1313 |
| Source | Library of Congress |
| Download Link | /show-records/marc_loc_2016/BooksAll.2016.part40.utf8:185809008:1313?format=raw |
LEADER: 01313cam a22003257a 4500
001 2012945094
003 DLC
005 20130221084201.0
008 120724s2013 enka b 001 0 eng d
010 $a 2012945094
015 $aGBB279276$2bnb
016 7 $a016147256$2Uk
020 $a9780199655410 (hbk.)
020 $a0199655413 (hbk.)
035 $a(OCoLC)ocn806491432
040 $aUKMGB$beng$cUKMGB$dYDXCP$dYNK$dUAT$dBTCTA$dNLE$dOCLCO$dCDX$dBWX$dIAD$dMUU$dDLC
042 $alccopycat
050 00 $aQA188$b.L547 2013
082 04 $a512.9434$223
100 1 $aLiesen, Jörg.
245 10 $aKrylov subspace methods :$bprinciples and analysis /$cJörg Liesen, Zdeněk Strakoš.
250 $a1st ed.
260 $aOxford :$bOxford University Press,$c2013.
300 $axv, 391 p. :$bill. ;$c24 cm.
490 1 $aNumerical mathematics and scientific computation
504 $aIncludes bibliographical references (p. [349]-384) and index.
505 0 $a1. Introduction -- 2. Krylov subspace methods -- 3. Matching moments and model reduction view -- 4. Short recurrences for generating orthogonal Krylov subspace bases -- 5. Cost of computations using Krylov subspace methods.
650 0 $aSparse matrices.
700 1 $aStrakoš, Zdeněk.
830 0 $aNumerical mathematics and scientific computation.