【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.

内容

L21-NOTE

资源

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 资源
2016-12-14 09:44:52 add 练习

最后编辑于
©著作权归作者所有,转载或内容合作请联系作者
平台声明:文章内容(如有图片或视频亦包括在内)由作者上传并发布,文章内容仅代表作者本人观点,简书系信息发布平台,仅提供信息存储服务。

推荐阅读更多精彩内容