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Lecture
Comparing Tangent Vectors: Three Reasons Why
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Newton's method: Optimization on manifolds
Explores Newton's method for optimizing functions on manifolds using second-order information and discusses its drawbacks and fixes.
Computing the Newton Step: From GD to CG
Covers the transition from Gradient Descent to Conjugate Gradients, highlighting the efficiency of CG over GD in optimization on manifolds.