Lecture
Approximate Convergence and Optimization
Description
This lecture covers topics such as approximate convergence, Cavalleory's theorem, mirror descent, and optimization algorithms. It delves into the concepts of convergence, minimization, and theorems related to optimization problems, presented with mathematical formulas and proofs.
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