Lectures related to Fixed Point Methods

Explores the Newton method for non-linear equations, discussing convergence criteria and stopping conditions.

Explores high-order fixed-point methods and Newton-Raphson method for solving nonlinear equations.

Covers higher order methods for solving equations iteratively, including fixed point methods and Newton's method.

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

Covers the topic of nonlinear equations and the fixed point method.

Explores the convergence of fixed point methods and the implications of different convergence rates.

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

Covers the convergence of fixed point methods for nonlinear equations, including global and local convergence theorems and the order of convergence.

Explores Newton's method for finding roots of nonlinear equations and its interpretation as a second-order method.

Covers the Newton method for finding zeros of functions using data interpolation.

Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.

Explores iterative methods for solving nonlinear equations, discussing convergence properties and implementation details.

Covers fixed point methods for finding zeros of non-linear equations.

Explores applying fixed point methods to solve electrical circuit equations and find diode voltage.

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

Introduces the fixed point method for solving nonlinear equations by transforming the problem into an equivalent form.

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

Explores the convergence analysis of Newton's method for solving nonlinear equations, discussing linear and quadratic convergence properties.

Explores fixed point methods for non-linear equations and dynamic models in MATLAB.

Covers fixed point methods and the Picard method for solving nonlinear equations iteratively.