Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse
Description: The first ~6 minutes are on the topic Norms and Derivatives: Why a norm of the input and output are needed to define a derivative. Now we can find the “matrix gradient” of the determinant function (leading to the “adjugate” matrix), and the “Jacobian” of a matrix inverse.
Instructors: Alan Edelman, Steven G. Johnson
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January IAP
2023
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