Lecture

Calcul de valeurs propres

Description

This lecture covers the calculation of eigenvalues and eigenvectors, including the process of finding XCC and LCC, determining the characteristic polynomial, and the importance of eigenvalues. It also discusses the significance of symmetric matrices and the methods for finding roots of a polynomial. The lecture emphasizes the importance of eigenvalues in various applications and the algorithm for power iteration.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1xprkre6

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra, Polynomials, Abstract algebra

Analysis: Numerical analysis

Statistics

Statistical inference: Mathematical statistics

Data analysis: Statistical classification

Mechanical engineering

Aerospace engineering: Spacecrafts

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