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Lecture
Embedded Submanifolds: Stiefel Manifold
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From embedded to general manifolds: Why?
Explores upgrading foundations from embedded to general manifolds in optimization, discussing smooth sets and tangent vectors.
Smooth sets and functions: Smooth functions, topology, and manifolds
Explores smooth functions on manifolds, emphasizing continuity and atlas topologies.
Differentiable Functions: Definitions and Interpretation
Covers the definitions of differentiable and derivable functions and their geometric interpretation.
Tangent spaces: Linearization of Embedded Submanifolds
Explores tangent spaces as free movement directions on submanifolds, offering a geometrically satisfying linearization notion.
Tangent to Graph of a Function
Explores finding the equation of the tangent line to a function's graph at a point.
Riemannian metrics and gradients: Why and definition of Riemannian manifolds
Covers Riemannian metrics, gradients, vector fields, and inner products on manifolds.
Riemannian metrics and gradients: Examples and Riemannian submanifolds
Explores Riemannian metrics on manifolds and the concept of Riemannian submanifolds in Euclidean spaces.
Grassmann manifold and Retractions
Covers the Grassmann manifold and retractions on submanifolds.
Newton's method on Riemannian manifolds
Covers Newton's method on Riemannian manifolds, focusing on second-order optimality conditions and quadratic convergence.
Smooth Manifolds: Diffeomorphisms
Explores smooth manifolds through diffeomorphisms and embedded submanifolds in a linear space.