Lectures related to Maximum Principle in Elliptic Problems

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers linear approximations up to order 2 and the Hessian matrix.

Covers conditions, loops, functions, and graphics in R programming with practical examples.

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

Focuses on Euler schemes for numerical approximation of forces and velocities.

Explores instability in thermal convection, finite difference methods, and Marangoni convection patterns.