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Lecture 21 – Eigenvalues and Eigenvectors
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Lecture 20 – Cramer’s Rule, Inverse Matrix and Volume
Lecture 22 – Diagonalization and Powers of A
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Linear Algebra (MIT)
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Unit II: Least Squares, Determinants and Eigenvalues
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