| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:210348293:3509 |
| Source | marc_columbia |
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LEADER: 03509cam a2200589 i 4500
001 15117265
005 20220402235506.0
006 m o d
007 cr cnu---unuuu
008 170208s2017 flu ob 001 0 eng d
035 $a(OCoLC)ocn971613642
035 $a(NNC)15117265
040 $aN$T$beng$erda$epn$cN$T$dIDEBK$dYDX$dUIU$dCNCGM$dVGM$dCRCPR$dOCLCQ$dUAB$dCOO$dERL$dOCLCQ$dU3W$dNLE$dUKMGB$dWYU$dTYFRS$dOCLCQ$dK6U$dOCLCO$dOCLCQ$dOCLCO
015 $aGBB747988$2bnb
016 7 $a018220412$2Uk
019 $a971586643$a971599466$a1000440832$a1015210884
020 $a9781498777797$q(electronic bk.)
020 $a1498777791$q(electronic bk.)
020 $a9781315166131
020 $a1315166135
020 $a9781351679091
020 $a1351679090
020 $z9781498777773
020 $z1498777775
035 $a(OCoLC)971613642$z(OCoLC)971586643$z(OCoLC)971599466$z(OCoLC)1000440832$z(OCoLC)1015210884
037 $a9781351679091$bIngram Content Group
050 4 $aQA188$b.T36 2017eb
072 7 $aMAT$x002040$2bisacsh
082 04 $a512.9/434$223
049 $aZCUA
100 1 $aTäubig, Hanjo,$d1975-$eauthor.
245 10 $aMatrix inequalities for iterative systems /$cHanjo Täubig, Department of Computer Science, Technische Universität München, Garching, Germany.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2017]
264 4 $c©20
300 $a1 online resource (xiv, 202 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"A science publishers book."
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $aIntroduction -- Notation and Basic Facts -- Motivation -- Diagonalization and Spectral Decomposition -- Undirected Graphs/Hermitian Matrices -- General Results -- Restricted Graph Classes -- Directed Graphs/Nonsymmetric Matrices -- Walks and Alternating Walks in Directed Graphs -- Powers of Row and Column Sums -- Applications -- Bounds for the Largest Eigenvalue -- Iterated Kernals.
520 2 $a"The book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It unifies and generalizes several results for products and powers of sesquilinear forms derived from powers of Hermitian, positive-semidefinite, as well as nonnegative matrices. It shows that some inequalities are valid only in specific cases. How to translate the Hermitian matrix results into results for alternating powers of general rectangular matrices? Inequalities that compare the powers of the row and column sums to the row and column sums of the matrix powers are refined for nonnegative matrices. Lastly, eigenvalue bounds and derive results for iterated kernels are improved."--Provided by publisher
650 0 $aMatrix inequalities.
650 6 $aInégalités matricielles.
650 7 $aMATHEMATICS$xAlgebra$xIntermediate.$2bisacsh
650 7 $aMatrix inequalities.$2fast$0(OCoLC)fst01012423
655 4 $aElectronic books.
700 1 $aHou, Xu$c(Engineer),$eeditor.
776 08 $iPrint version:$aTäubig, Hanjo, 1975-$tMatrix inequalities for iterative systems.$dBoca Raton, FL : CRC Press, Taylor & Francis Group, [2017]$z9781498777773$w(DLC) 2016030679$w(OCoLC)936350418
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15117265$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS