Supporting Hyperplanes

Related lectures (29)

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Explains differentiability in multivariable functions and the geometric interpretation of tangent planes.

Explores the Local Inversion Theorem and extremum points in functions.

Explores Taylor series expansions for derivatives and integrals, including practical applications.

Explores derivatives and approximations, focusing on logarithmic functions and their properties.

Explores derivatives, Hessians, and Taylor approximations for differentiable functions.

Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.

Explores differentiable functions, Taylor approximations, and directional derivatives in open sets.

Introduces differential forms on manifolds, covering tangent bundles and intersection pairings.

Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.

Discusses advanced optimization techniques, focusing on faster and projected gradient descent methods in machine learning.