Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods

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MIT 18.S096 Matrix Calculus For Machine Learning And Beyond, IAP 2023
Instructors: Alan Edelman, Steven G. Johnson

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Description: Nonlinear root finding by Newton’s method and optimization by gradient descent. “Adjoint” methods (reverse-mode/backpropagation) lets us find gradients efficiently for large-scale engineering optimization.

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