Lectures in Eigenvalues and Eigenvectors
Lecture 1: What Are Eigenvalues? (Part 1)
Lecture 2: What Are Eigenvalues? (Part 2)
Lecture 3: What Are Eigenvalues? (Example 1)
Lecture 4: What Are Eigenvalues? (Example 2)
Lecture 5: What Is An Eigenvector?
Lecture 6: How To Find The Eigenvector
Lecture 7: Given The Eigenvector, Eigenvalues=?
Lecture 8: Eigenvector=? Of A 3X3 Matrix
Lecture 9: Bases And Eigenvalues: 1
Lecture 10: Bases And Eigenvalues: 2
Lecture 11: Basis=? For A 2X2 Matrix
Lecture 12: Basis=? For A 3X3 Matrix: Ex. 1
Lecture 13: Basis=? For A 3X3 Matrix: Ex. 2
Lecture 14: Basis=? For A 2X2 Matrix
Lecture 15: Basis=? For A 3X3 Matrix: 1/3
Lecture 16: Basis=? For A 3X3 Matrix: 2/3
Lecture 17: Lin. Indep.? For A 3X3 Matrix: 3/3
Lecture 18: Checking Eigenvectors
Lecture 19: Eigenvectors=? Approx. Method: 1
Lecture 20: Eigenvectors=? Approx. Method: 2
Lecture 21: Find The Dominant Eigenvectors=?
Lecture 22: Given Eigenvalue, Find Eigenvector=?
Lecture 23: The Power Method With Scaling
Lecture 24: The Power Method With Scaling
Lecture 25: Diagonalization (Part 1/3)
Lecture 26: Diagonalization (Part 2/3)
Lecture 27: Diagonalization (Part 3/3)
Lecture 28: Power Method A^2
Lecture 29: Power Method A^3
Lecture 30: Power Method A^N, A^5
Lecture 31: Power Method A^N, General Eqn.