【MIT】21-Eigenvalues and Eigenvectors

If the product Ax points in the same direction as the vector x, we say that x is an eigenvector of A. Eigenvalues and eigenvectors describe what happens when a matrix is multiplied by a vector. In this session we learn how to find the eigenvalues and eigenvectors of a matrix.

內容

L21-NOTE

資源

Lecture 21: Eigenvalues and eigenvectors - MIT18_06SCF11_Ses2.8sum.pdf
18.06 Linear Algebra Video Transcript - Lecture 21 - MIT18_06SCF11_L21.pdf

@安然Anifacc
2016-12-13 08:25:04 add intro and 資源
2016-12-14 09:44:52 add 練習

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