Lecture
Computing the Newton Step: Matrix-Based Approaches
Description
This lecture covers the computation of the Newton step on a Riemannian manifold using matrix-based approaches. The instructor explains how to solve the linear system involving the Hessian and gradient of a smooth function, emphasizing the computational costs and the operator's dominance. Different strategies and retraction methods are discussed to efficiently compute the Newton step.
Official source
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