Introduction: Einstein summation convention and the symmetry of the dot product

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Compétences que vous apprendrez

Eigenvalues And Eigenvectors, Basis (Linear Algebra), Transformation Matrix, Linear Algebra

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4.7 (9,845 évaluations)
  • 5 stars
    74,41 %
  • 4 stars
    20,32 %
  • 3 stars
    3,34 %
  • 2 stars
    1,08 %
  • 1 star
    0,83 %

EC

9 sept. 2019

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Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

NS

22 déc. 2018

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Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

À partir de la leçon

Matrices make linear mappings

Enseigné par

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    David Dye

    Professor of Metallurgy

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    Samuel J. Cooper

    Senior Lecturer

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    A. Freddie Page

    Strategic Teaching Fellow

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