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CPBS 7620 - Lecture 15 - More on the Frechet Derivative

Nicholas Dwork · 6:35 · Watch on YouTube

CPBS 7620 - Lecture 15 - More on the Frechet Derivative Watch on YouTube →

Overview

Nicholas Dwork derives Fréchet derivatives for linear maps and quadratic forms, showing that the gradient of f(x) = xᵀAx is (A + Aᵀ)x and simplifies to 2Ax when A is symmetric. He applies these results to minimize ||Ax − b||², deriving the normal equations and the full-column-rank least-squares solution x = (AᵀA)⁻¹Aᵀb.

Key takeaways

Chapters

0:00 Fréchet Derivatives of Linear Maps and Quadratic Forms
1:40 Verifying the Quadratic Gradient with a Fréchet Limit
4:20 Least-Squares Critical Point and the Normal Equations

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