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Lecture
Gradient Descent: Optimization and Constraints
Description
This lecture covers the concept of gradient descent for optimization problems with equality constraints, focusing on projection matrices, feasible points, and the iterative process. It also discusses the final formulation of the problem, convergence criteria, and error analysis.
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