Optimization with Constraints: KKT Conditions

In course

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Description

This lecture covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions. It explains how to find the optimal solution when constraints are present, using mathematical formulations and examples. The KKT conditions are derived under reasonable assumptions, leading to the existence of Lagrange multipliers. The lecture emphasizes the importance of understanding and applying these conditions in practical optimization problems.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_i9l7jkrh

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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