Lecture

Optimization without Constraints: Gradient Method

Description

This lecture covers the optimization without constraints using the gradient method, focusing on finding the minimum of a function. The instructor explains the process step by step, illustrating with examples and mathematical formulas. The lecture emphasizes the importance of understanding the gradient descent method for optimization problems.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_phpk8h5u

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis

Algebra: Linear algebra

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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