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Introduction to Linear Algebra / edited by L. Serge and others. [Electronic Resource]

By: Material type: Computer fileComputer fileSeries: Undergraduate Texts in Mathematics SeriesPublication details: New York : Springer, 1997Edition: 2nd EdDescription: 300pISBN:
  • 9781461210702
Related works:
  • Axler, S. [Author]
  • Gehring, F. W. [Author]
  • Ribet, K. A. [Editor]
Subject(s): DDC classification:
  • 512.5 Se664I
Online resources: Summary: This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.
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Holdings
Item type Home library Collection Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Textbook 512.5 Se664I (Browse shelf(Opens below)) Available (e-Book For Access) Platform : ProQuest EB0169
Total holds: 0
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
512.5 B629B Basic Linear Algebra 512.5 L45L Linear Algebra and its Applications 512.5 Os7A Advanced Mathematical Methods 512.5 Se664I Introduction to Linear Algebra 512.86 Sc86G Group Theory 512.9 J151B Basic Algebra I 512.943 4 Z28M Matrix Analysis and Applications

This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.

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