Supporting hyperplanes

Related lectures (29)

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

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

Explores directional derivatives, tangent planes, and normal vectors in surfaces.

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

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

Explores the Local Inversion Theorem and extremum points in functions.

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

Explores differentiable functions in R², including vector fields and coordinate transformations.

Explores algebraic operations for derivatives, including addition, multiplication, and composition of functions on an interval.

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