Lecture

Polynomial Optimization: SOS and SDP

In course

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Description

This lecture covers the concept of Sum of Squares (SOS) polynomials and Semidefinite Programming (SDP) in the context of Polynomial Optimization. It explains how to determine if a polynomial is SOS, the proof behind it, and how to approximate non-convex polynomials using convex SDP. The lecture also discusses the relationship between polynomials, symmetric matrices, and SDP constraints.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_akpez2bo

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Statistics

Data analysis: Regression analysis

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