Iterative methods: Jacobi, Gauss-Seidel, SOR

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Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.

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

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

Covers root-finding methods, focusing on the bisection and secant techniques, their implementations, and comparisons of their convergence rates.

Covers the Crank-Nicolson and Heun's methods, discussing uniqueness of solutions and truncation errors in numerical methods.

Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.

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

Covers numerical methods for root finding, focusing on the secant and Newton's methods.

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

Explores unconfined flow analysis in geomechanics, emphasizing iterative solution methods and boundary condition considerations.