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Lecture
Convergence Criteria
Description
This lecture covers different convergence criteria used in optimization algorithms, such as stopping conditions based on the norm of the gradient and the change in the objective function. The instructor explains how these criteria help determine when to stop the optimization process and highlights the importance of paying attention to the criteria when dealing with large values. Various examples are provided to illustrate the application of convergence criteria in practice.
Official source
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