Episode 25a (9:10): <br />The Fundamental Theorem of Matrixology redux

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Episode 24c: Another fully worked, highly nutritious SVD Calculation

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Episode 25a (9:10):
The Fundamental Theorem of Matrixology redux

Summary:

Our epic quest to understand $\mathbf{A}\vec{x} = \vec{b}$ ends with Singular Value Decomposition allowing us to finish writing the Big Picture story. Row space and Column space and Nullspace and Left Nullspace all have a natural, best basis derived from the eigenvectors of $\mathbf{A}^{\rm T}\mathbf{A}$ and $\mathbf{A}\mathbf{A}^{\rm T}$ . While this will undoubtedly feel like an exhilarating conclusion, it's really just a beginning. The monks wave you on.

Best dined upon by 2016/12/05

Duration: 9:10

2016/12/05

9:10

Lecture:

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Covers this slide set:

25a. The Fundamental Theorem of Matrixology redux

Episode 24c: Another fully worked, highly nutritious SVD Calculation

All Episodes

Episode 24c: Another fully worked, highly nutritious SVD Calculation

All Episodes

Episode 25a (9:10): The Fundamental Theorem of Matrixology redux

Summary:

Best dined upon by 2016/12/05

Duration: 9:10

2016/12/05

9:10

Lecture:

Tweet:

Covers this slide set:

25a. The Fundamental Theorem of Matrixology redux

Episode 24c: Another fully worked, highly nutritious SVD Calculation

All Episodes

Episode 25a (9:10):
The Fundamental Theorem of Matrixology redux