Master Diagonalization of Matrices with MIT's Differential Equations Course π
Explore the fundamentals of matrix diagonalization in MIT's RES.18-009 course, featuring insights from Gilbert Strang and Cleve Moler. Perfect for deepening your understanding of differential equations and linear algebra!
MIT OpenCourseWare
196.0K views β’ May 6, 2016
About this video
MIT RES.18-009 Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler, Fall 2015
View the complete course: http://ocw.mit.edu/RES-18-009F15
Instructor: Gilbert Strang
A matrix can be diagonalized if it has n independent eigenvectors. The diagonal matrix Ξ is the eigenvalue matrix.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
View the complete course: http://ocw.mit.edu/RES-18-009F15
Instructor: Gilbert Strang
A matrix can be diagonalized if it has n independent eigenvectors. The diagonal matrix Ξ is the eigenvalue matrix.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
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Views
196.0K
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4.2K
Duration
11:37
Published
May 6, 2016
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4.7
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