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This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theore ...

DETAILS

  • Linear Algebra with Python
  • Theory and Applications
  • Tsukada, Makoto, Kobayashi, Yuji, Kaneko, Hiroshi
  • Gebunden, xv, 309 S.
  • XV, 309 p. 91 illus., 64 illus. in color.
  • Sprache: Englisch
  • 254 mm
  • ISBN-13: 978-981-9929-50-4
  • Titelnr.: 96437488
  • Gewicht: 809 g
  • Springer, Berlin (2023)
  • Herstelleradresse

    Springer Heidelberg

    Tiergartenstr. 17

    69121 - DE Heidelberg

    E-Mail: buchhandel-buch@springer.com

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