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100   $a20210428d2014      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aElementary linear algebra with applications /$fBernard Kolman, David Hill
205   $aPearson new international edition, Ninth edition.
210  1$aHarlow, England :$cPearson,$d[2014]
210  4$d©2014
215   $a1 online resource (630 pages) $cillustrations
225 1 $aAlways learning
300   $aIncludes index.
311   $a1-292-02365-1 
311   $a1-299-96161-4 
327   $aCover -- Table of Contents -- Glossary for Linear Algebra -- Chapter 1. Linear Equations and Matrices -- Chapter 2. Solving Linear Systems -- Chapter 4. Real Vector Spaces -- Chapter 5. Inner Product Spaces -- Chapter 6. Linear Transformations and Matrices -- Chapter 3. Determinants -- Chapter 7. Eigenvalues and Eigenvectors -- Chapter 8. Applications of Eigenvalues and Eigenvectors -- Chapter 9. MATLAB for Linear Algebra -- Chapter 10. MATLAB Exercises -- Photo Credits -- Index.
330   $aFor introductory sophomore-level courses in Linear Algebra or Matrix Theory.     This text presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.
410  0$aAlways learning.
606   $aAlgebras, Linear
606   $aAlgebras, Linear$vTextbooks
615  0$aAlgebras, Linear.
615  0$aAlgebras, Linear
676   $a512.5
700   $aKolman$b Bernard$013616
702   $aHill$b David
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910153106803321
996   $aElementary linear algebra with applications$93408742
997   $aUNINA