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Convergence of Fixed Point Methods
Explores the convergence of fixed point methods and the implications of different convergence rates.
Convergence Analysis: Explicit RK Scheme
Explores the convergence analysis of the Explicit Runge-Kutta scheme for accurate numerical solutions.
Nonlinear Equations: Fixed Point Method Convergence
Covers the convergence of fixed point methods for nonlinear equations, including global and local convergence theorems and the order of convergence.
Numerical Methods: Euler and Crank-Nicolson
Covers Euler and Crank-Nicolson methods for solving differential equations.
Numerical Methods: Iterative Techniques
Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.
Iterative Methods for Linear Equations
Covers iterative methods for solving linear equations and analyzing convergence, including error control and positive definite matrices.
Numerics: semester project
Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.
Newton's Method: Convergence and Quadratic Convergence
Explores Newton's method convergence and quadratic convergence properties in theorem 8.4.
Numerical Analysis: Nonlinear Equations
Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.
Newton Method: Convergence Analysis
Explores the Newton method for root finding and its convergence analysis, including the modified Newton method.