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Related lectures (31)

Covers the Laplace equation, decomposition of linear problems, and solutions through separation of variables.

Explores geodesic convexity in metric spaces and its applications, discussing properties and the stability of inequalities.

Covers the integration of limit expansions and continuous functions by pieces.

Covers the Zig Zag Lemma and the long exact sequence of relative homology.

Demonstrates the relationship between the gradient and the divergence of a scalar field.

Covers the approximation of functions in Sobolev spaces using smooth functions.

Covers the Central Limit Theorem and its application to random variables, proving convergence to a normal distribution.

Explores potential derivatives, Green theorem, simple curves, and adherence in open domains.

Explores positive and negative orientation in curves, emphasizing their impact on tangent and normal vectors.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

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