Lecture

Direct and Iterative Methods for Linear Equations

In course

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Description

This lecture covers direct methods for solving systems of linear equations, focusing on symmetric and positive definite matrices, eigenvalues, and condition numbers. It also delves into iterative methods like Richardson's method, Jacobi's method, and Gauss-Seidel's method, explaining their application and computational cost. The slides provide detailed examples and formulas to illustrate the concepts.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4i0yxw2w

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis, Measure theory

Algebra: Linear algebra

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