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From embedded to general manifolds: Why?
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Related lectures (59)
Tangent vectors without embedding space: Equivalence classes
Delves into tangent vectors as equivalence classes on manifolds, highlighting their abstract nature and role in optimization.
Geometry and Symmetry in Non-Convex Optimization
Delves into benign non-convexity, principal component analysis, low-rank matrix completion, and community detection in optimization.
General Manifolds and Topology
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Covers manifolds, topology, smooth maps, and tangent vectors in detail.
Riemannian connections
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Explores Riemannian connections on manifolds, emphasizing smoothness and compatibility with the metric.
Connections: motivation and definition
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Explores the definition of connections for smooth vector fields on manifolds.
Manopt: Optimization Toolbox for Manifolds
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Introduces Manopt, a toolbox for optimization on manifolds, focusing on solving optimization problems on smooth manifolds using the Matlab version.
Smooth maps on manifolds and differentials
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Covers smooth maps on manifolds, defining functions, tangent spaces, and differentials.
Hessians, Symmetry and Examples: Sphere, Stiefel
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Covers Hessians, symmetry, and examples related to vector fields, functions, and manifolds.
Optimization on Manifolds
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Covers optimization on manifolds, focusing on smooth manifolds and functions, and the process of gradient descent.
Grassmann manifold and Retractions
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Covers the Grassmann manifold and retractions on submanifolds.
Cartesian Product and Equivalence Classes
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Covers the Cartesian product of sets and binary relations with detailed examples and graphical representations.
Geodesics in Wasserstein Space
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Explores geodesics in the Wasserstein space, emphasizing constant speed geodesics and their properties.
Heterogeneous Catalysis: Adsorption & Kinetics
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Explores adsorption mechanisms, elementary kinetics, active sites, and transport effects in heterogeneous catalysis.
Powers, Roots, and Calculation Rules
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Covers powers, roots, calculation rules, logarithmic functions, reciprocal functions, sets, and basic notations.
Data Structures: Tuples, Lists, Sets, Dicts
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Introduces Python data structures like tuples, lists, sets, and dictionaries, emphasizing manipulation and conversion techniques.
Function Composition and Integers
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Covers function composition and integers, including properties and examples.
Compact Manifolds Classification
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Covers the classification of compact p-adic manifolds using the C.o.V-formula and explores smooth algebraic varieties and Hensel's lemma.
Cylindrical Coordinates: Integrability and Volumes
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Explores cylindrical coordinates, integrability, and volume calculations using examples.
Modeling Interactions & Assemblies
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Covers the modeling of interactions and assemblies in engineering simulations using Abaqus software.
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