Lectures related to Newton's Method: Fixed Point Iterative Approach

Covers Euler and Crank-Nicolson methods for solving differential equations.

Covers the convergence analysis of iterative methods and the conditions for convergence.

Addresses solving non-linear equations and systems numerically using fixed point and Newton's methods.

Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Covers the Picard method for solving nonlinear equations using fixed point iteration.

Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Covers the formalism and bases of dynamic systems, including differential equations and non-linear systems.