Matrices, vectors, and solving simultaneous equation problems

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Получаемые навыки

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

Рецензии

4.7 (оценок: 11,076)

  • 5 stars
    74,67 %
  • 4 stars
    19,79 %
  • 3 stars
    3,42 %
  • 2 stars
    1,15 %
  • 1 star
    0,95 %

NS

22 дек. 2018 г.

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.

PL

25 авг. 2018 г.

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

Из урока

Matrices in Linear Algebra: Objects that operate on Vectors

Преподаватели

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    David Dye

    Professor of Metallurgy

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    Samuel J. Cooper

    Associate Professor

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    A. Freddie Page

    Strategic Teaching Fellow

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