Computing the Newton Step: Matrix-Based Approaches

In course

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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.

In MOOC

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_f0pk1ryp

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Ontological neighbourhood

Mathematics

Analysis: Functional analysis

Geometry: Differential geometry

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