LEADER 02843oam 2200649I 450 001 9910811864403321 005 20230725060951.0 010 $a1-04-005269-X 010 $a0-429-06686-4 010 $a1-4398-8287-8 024 7 $a10.1201/b18294 035 $a(CKB)3710000000391594 035 $a(EBL)1648253 035 $a(SSID)ssj0001458713 035 $a(PQKBManifestationID)12589963 035 $a(PQKBTitleCode)TC0001458713 035 $a(PQKBWorkID)11451380 035 $a(PQKB)10724739 035 $a(Au-PeEL)EBL1648253 035 $a(CaPaEBR)ebr11167507 035 $a(OCoLC)908079491 035 $a(MiAaPQ)EBC1648253 035 $a(EXLCZ)993710000000391594 100 $a20180706d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFinite-dimensional linear algebra /$fby Mark S. Gockenbach 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press, an imprint of Taylor and Francis,$d2010. 215 $a1 online resource (673 p.) 225 1 $aDiscrete Mathematics and Its Applications 300 $aDescription based upon print version of record. 311 $a1-4398-1563-1 320 $aIncludes bibliographical references. 327 $aCover; Title; Copyright; Contents; Preface; About the Author; Chapter 1: Some problems posed on vector spaces; Chapter 2: Fields and vector spaces; Chapter 3: Linear operators; Chapter 4: Determinants and eigenvalues; Chapter 5: The Jordan canonical form; Chapter 6: Orthogonality and best approximation; Chapter 7: The spectral theory of symmetric matrices; Chapter 8: The singular value decomposition; Chapter 9: Matrix factorizations and numerical linear algebra; Chapter 10: Analysis in vector spaces; A The Euclidean algorithm; B Permutations; C Polynomials; D Summary of analysis in R 327 $aBibliographyIndex 330 3 $aLinear algebra forms the basis for much of modern mathematics?theoretical, applied, and computational. Finite-Dimensional Linear Algebra provides a solid foundation for the study of advanced mathematics and discusses applications of linear algebra to such diverse areas as combinatorics, differential equations, optimization, and approximation. 410 0$aDiscrete mathematics and its applications. 606 $aAlgebras, Linear 606 $aDimensional analysis 606 $aFinite fields (Algebra) 606 $aVector spaces 615 0$aAlgebras, Linear. 615 0$aDimensional analysis. 615 0$aFinite fields (Algebra) 615 0$aVector spaces. 676 $a512/.5 700 $aGockenbach$b Mark S.$0284762 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910811864403321 996 $aFinite-dimensional linear algebra$94080567 997 $aUNINA