Derivability and Continuity

Related lectures (56)

Explores the complexity of convex hulls and the concept of vertices within them.

Explores Newtonian potential in bounded domains, discussing its conditions and properties.

Covers differentiability of functions in two variables and the conditions for a function to be differentiable.

Discusses advanced analysis concepts, focusing on differential equations and timers in microcontrollers.

Covers the Dirichlet problem on the ball and the solution to the Dirichlet problem on the half plane.

Introduces Fourier series, explaining their approximation properties and convergence, along with the Dirichlet theorem and coefficient computation.

Introduces functions in R² with examples and graphical techniques, illustrated by Peter Wittwer.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Explores the implicit functions theorem and the equation of the tangent plane in a graph.

Explores functions in R² with sets where x² + y² ≤ 1.

Explores mixed-integer linear programming, binary variables, 0-1 knapsack, assignment problems, and LP relaxation strength.

Covers the rules of derivatives, O-notation, and extrema in the context of theorem 6.5 and examples.

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Explores fundamental solutions in partial differential equations, highlighting their significance in mathematical applications.

Explains Newton's method of order 2 for finding function zeros.

Page 3 of 3