Lecture

Second Order Approximations: The Hessian Matrix

In course

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Description

This lecture covers second order approximations for twice differentiable functions, focusing on the Hessian matrix. It explains the definition of C^1(U) functions, partial derivatives, and symmetric matrices. The instructor demonstrates the application of the Hessian matrix in finding second order approximations and proves related theorems.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_jfln1tdy

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

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