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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the continuation of the gradient method, introduction to the conjugate gradient method, and various stopping criteria. It explains the preconditioned Richardson method, convergence properties, and the computation of new iterates. The lecture also discusses the stationary and dynamic nature of the gradient method, the computation of residuals, and the Richardson method for symmetric positive definite matrices.
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