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Lecture
Symmetry Property: Riemannian Connection in Geometry
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Riemannian metrics and gradients: Why and definition of Riemannian manifolds
Covers Riemannian metrics, gradients, vector fields, and inner products on manifolds.
Differential Forms on Manifolds
Introduces differential forms on manifolds, covering tangent bundles and intersection pairings.
Riemannian Hessians: Definition and Example
Covers the definition and computation of Riemannian Hessians on manifolds.
Dynamics of Steady Euler Flows: New Results
Explores the dynamics of steady Euler flows on Riemannian manifolds, covering ideal fluids, Euler equations, Eulerisable flows, and obstructions to exhibiting plugs.
All things Riemannian: metrics, (sub)manifolds and gradients
Covers the definition of retraction, open submanifolds, local defining functions, tangent spaces, and Riemannian metrics.
Rigidity in Negative Curvature
Delves into the rigidity of negatively curved manifolds and the interplay between curvature and symmetry.
Differentiating Vector Fields: How Not to Do It
Discusses the challenges in differentiating vector fields on submanifolds and the importance of choosing the right method.
Retractions vector fields and tangent bundles: Tangent bundles
Covers retractions, tangent bundles, and embedded submanifolds on manifolds with proofs and examples.
Bird's-eye view and aims
Covers optimization on manifolds, smoothness, tools needed for optimization, and advanced algorithms using Hessians and Riemannian connections.
Optimality Conditions: First Order
Covers optimality conditions in optimization on manifolds, focusing on global and local minimum points.