Riemannian Trust Regions framework

Related lectures (32)

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Explores Riemannian connections on manifolds, emphasizing smoothness and compatibility with the metric.

Explores practical aspects of Riemannian trust-region optimization and introduces the truncated conjugate gradient method.

Covers Riemannian connections, emphasizing their properties and significance in geometry.

Delves into Riemannian geometry for robot motion learning and control, emphasizing geodesic synergies and the configuration space manifold.

Introduces optimization on manifolds, covering classical and modern techniques in the field.

Explores symmetries, Riemannian connection, vector fields, and Lie bracket in geometry.

Introduces Manopt, a toolbox for optimization on manifolds, focusing on solving optimization problems on smooth manifolds using the Matlab version.

Presents the fundamental theorem of Riemannian geometry and demonstrates the uniqueness of the Riemannian connection.

Covers connections on manifolds, symmetric connections, Lie brackets, and compatibility with the metric in Riemannian geometry.

Covers the definition and computation of Riemannian Hessians on manifolds.