Optimization Problems

Related lectures (29)

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Covers the method of Lagrange multipliers to find extrema subject to constraints.

Covers optimization problems, focusing on finding extrema of functions subject to constraints.

Covers advanced optimization methods using Lagrange multipliers to find extrema of functions subject to constraints.

Covers directional derivatives, implicit functions, and the concept of the maximum.

Explores real functions, covering parity, periodicity, and polynomial functions.

Discusses local extrema of functions in two variables around the point (0,0).

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Explains how to find local extrema of functions using derivatives and critical points.

Covers functions, including even and odd functions, periodicity, and function operations.

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.