Lecture

Convergence Criteria: Necessary Conditions

In course

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Description

This lecture covers the convergence criteria for identifying minimum points in optimization problems. It explains the necessary conditions for convergence, such as stationary points and gradient properties. Additionally, it delves into second-order necessary conditions and practical convergence criteria, including popular tests and additional verification steps.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_2btf8ryr

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Ontological neighbourhood

Mathematics

Analysis: Calculus

Algebra: Linear algebra

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