Lectures related to Approximation of Greek Functions

Covers methods for solving nonlinear equations, including bisection and Newton-Raphson methods, with a focus on convergence and error criteria.

Explores iterative methods for solving linear systems with a focus on error control.

Introduces the Jacobi method for solving linear systems by iteratively updating the diagonal elements of a matrix.

Covers numerical methods for finding roots, including secant, Newton, and fixed point iteration techniques.

Covers the convergence of the method and the importance of adapting time steps for accurate approximations.

Covers iterative methods for solving linear systems, emphasizing convergence analysis and well-chosen matrices.

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

Explores the Newton method for root finding and its convergence analysis, including the modified Newton method.