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Lecture
Local Homeomorphisms and Coverings
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Related lectures (52)
Cartesian Product and Induction
Introduces Cartesian product and induction for proofs using integers and sets.
Harmonic Forms and Riemann Surfaces
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Explores harmonic forms on Riemann surfaces, covering uniqueness of solutions and the Riemann bilinear identity.
Geodesics in Wasserstein Space
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Explores geodesics in the Wasserstein space, emphasizing constant speed geodesics and their properties.
Graph Sketching: Connected Components
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Covers the concept of graph sketching with a focus on connected components.
General Manifolds and Topology
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Covers manifolds, topology, smooth maps, and tangent vectors in detail.
Manifolds: Charts and Compatibility
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Covers manifolds, charts, compatibility, and submanifolds with smooth analytic equations.
Sparsest Cut: ARV Theorem
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Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
Connections: motivation and definition
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Explores the definition of connections for smooth vector fields on manifolds.
Untitled
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Riemannian connections
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Explores Riemannian connections on manifolds, emphasizing smoothness and compatibility with the metric.
Local Rings and Residues
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Covers the proof of theorem 4.2 on multiplicities and the special structure of local rings at a simple point of a plane.
Graph Coloring: Theory and Applications
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Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.
Lax-Milgram: Variational Problems and Riesz's Theorem
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Explores the Lax-Milgram theorem, variational problems, and Riesz's representation theorem in linear elliptic problems.
Curvature and Osculating Circle
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Covers curvature, osculating circles, and the evolute of plane curves, with examples and equations.
Likelihood Ratio Tests: Optimality and Applications
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Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Differential Geometry: Parametric Curves & Surfaces
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Introduces the basics of differential geometry for parametric curves and surfaces, covering curvature, tangent vectors, and surface optimization.
Metric Spaces: Topology and Continuity
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Introduces metric spaces, topology, and continuity, emphasizing the importance of open sets and the Hausdorff property.
Application Reciproque and Composition of Applications
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Explores the relationships between functions and sets, focusing on composite functions properties.
Shape from Texture
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Explores recovering surface orientation from image texture under different projections and the use of deep learning for normal prediction.
Taylor Polynomials: Approximating Functions in Multiple Variables
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Covers Taylor polynomials and their role in approximating functions in multiple variables.
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