Convexity and Optimization

Related lectures (24)

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Explores derivability and continuity of functions, showcasing examples of functions with differentiability properties.

Explains the concept of limit superior and limit inferior for bounded sequences.

Covers elementary functions, derivatives, limits, continuity, and differentiability.

Explores upper and lower limits of sequences and their convergence.

Explores chaos in quantum field theories, focusing on conformal symmetry, OPE coefficients, and random matrix universality.

Explores finding the equation of the tangent line to a function's graph at a point.

Covers the concept of continuous derivatives and their application in analyzing functions and determining critical points.

Covers the conditions for finding absolute extrema in multivariable functions.

Covers advanced numerical analysis topics including deep neural networks and optimization methods.

Explores series convergence analysis through detailed examples and precise calculations.