LEADER 01014nam a2200253 i 4500 001 991001831819707536 008 060904 2006 it ita 020 $a8842079901 035 $ab13433957-39ule_inst 040 $aDip.to Filosofia$bita 082 0 $a120 100 1 $aScribano, Emanuela$0158812 245 10$aAngeli e beati :$bmodelli di conoscenza da Tommaso a Spinoza /$cEmanuela Scribano 260 $aRoma ; Bari :$bLaterza,$c2006 300 $aVIII, 297 p. ;$c21 cm 440 0$aBiblioteca di cultura moderna ;$v1187 650 4$aConoscenza 907 $a.b13433957$b23-02-12$c04-09-06 912 $a991001831819707536 945 $aLE007 120 SCR 01.01$g1$i2007000200995$lle007$nLE007 2010 Spedicati$op$pE22.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i1516410x$z06-09-10 945 $aLE005 120 SCR01. 01$g1$i2005000176456$lle005$o-$pE22.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i14285198$z04-09-06 996 $aAngeli e beati$9728598 997 $aUNISALENTO 998 $ale007$ale005$b04-09-06$cm$da $e-$fita$git $h0$i0 LEADER 04232nam 22006855 450 001 9910483744903321 005 20251113210615.0 010 $a3-030-59789-X 024 7 $a10.1007/978-3-030-59789-4 035 $a(CKB)4100000011558643 035 $a(DE-He213)978-3-030-59789-4 035 $a(MiAaPQ)EBC6383600 035 $a(MiAaPQ)EBC6647489 035 $a(Au-PeEL)EBL6383600 035 $a(OCoLC)1225893605 035 $a(Au-PeEL)EBL6647489 035 $a(PPN)25250772X 035 $a(EXLCZ)994100000011558643 100 $a20201102d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExercises in Numerical Linear Algebra and Matrix Factorizations /$fby Tom Lyche, Georg Muntingh, Øyvind Ryan 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIX, 265 p. 12 illus., 10 illus. in color.) 225 1 $aTexts in Computational Science and Engineering,$x2197-179X ;$v23 311 08$a3-030-59788-1 327 $aA Short Review of Linear Algebra -- Diagonally Dominant Tridiagonal Matrices; Three Examples -- Gaussian Eliminationa nd LU Factorizations -- LDL* Factorization and Positive Definite Matrices -- Orthonormal and Unitary Transformations -- Eigenpairs and Similarity Transformations -- The Singular Value Decomposition -- Matrix Norms and Perturbation Theory for Linear Systems -- Least Squares -- The Kronecker Product -- Fast Direct Solution of a Large Linear System -- The Classical Iterative Methods -- The Conjugate Gradient Method -- Numerical Eigenvalue Problems -- The QR Algorithm. 330 $aTo put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between the theory of linear algebra and its myriad expressions in nearly every computational domain. To bridge this gap, it is essential to process the theory by solving many exercises, thus obtaining a firmer grasp of its diverse applications. Similarly, from a theoretical perspective, diving into the literature on advanced linear algebra often reveals more and more topics that are deferred to exercises instead of being treated in the main text. As exercises grow more complex and numerous, it becomes increasingly important to provide supporting material and guidelines on how to solve them, supporting students? learning process. This book provides precisely this type of supporting material for the textbook ?Numerical Linear Algebra and Matrix Factorizations,? published as Vol. 22 of Springer?s Texts in Computational Science and Engineering series. Instead of omitting details or merely providing rough outlines, this book offers detailed proofs, and connects the solutions to the corresponding results in the textbook. For the algorithmic exercises the utmost level of detail is provided in the form of MATLAB implementations. Both the textbook and solutions are self-contained. This book and the textbook are of similar length, demonstrating that solutions should not be considered a minor aspect when learning at advanced levels. 410 0$aTexts in Computational Science and Engineering,$x2197-179X ;$v23 606 $aAlgebras, Linear 606 $aAlgorithms 606 $aMathematics$xData processing 606 $aNumerical analysis 606 $aLinear Algebra 606 $aAlgorithms 606 $aComputational Science and Engineering 606 $aNumerical Analysis 615 0$aAlgebras, Linear. 615 0$aAlgorithms. 615 0$aMathematics$xData processing. 615 0$aNumerical analysis. 615 14$aLinear Algebra. 615 24$aAlgorithms. 615 24$aComputational Science and Engineering. 615 24$aNumerical Analysis. 676 $a512.5 700 $aLyche$b Tom$060177 702 $aMuntingh$b Georg 702 $aRyan$b Øyvind 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483744903321 996 $aExercises in Numerical Linear Algebra and Matrix Factorizations$91889144 997 $aUNINA