Lecture

Linear Systems: Convergence and Methods

In course

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Description

This lecture covers the topic of linear systems, focusing on convergence and methods for solving them. It discusses the challenges in CPU time and memory requirements, presenting direct and iterative methods such as Cholesky decomposition and LU decomposition. The lecture also delves into the complexities of solving linear systems and the importance of choosing the right method based on the problem at hand.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_q3x7pu32

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra, Abstract algebra

Analysis: Numerical analysis

Number theory: Number theory

Computer engineering

Computer architecture: Embedded systems

Hardware engineering: Microprocessors

Information engineering

Machine learning: Artificial neural networks

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