The Gram–Schmidt process

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Получаемые навыки

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

Рецензии

4.7 (оценок: 8,421)
  • 5 stars
    73.83%
  • 4 stars
    20.93%
  • 3 stars
    3.40%
  • 2 stars
    1.06%
  • 1 star
    0.74%
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 make linear mappings

Преподаватели

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    David Dye

    Professor of Metallurgy
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    Samuel J. Cooper

    Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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