Crank-Nicolson and Heun's Methods

Related lectures (29)

Page 3 of 3

Explores ordinary differential equations and numerical integration methods for stability and accuracy.

Covers Newton's method for finding zeros of functions through fixed point iteration and discusses convergence properties.

Introduces the Euler Forward Method for ODEs, focusing on error analysis and stability.

Explores implicit and explicit methods in numerical analysis using Euler's paths.

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

Explores the convergence analysis of the Explicit Runge-Kutta scheme for accurate numerical solutions.

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

Explores the Euler backward method for ODEs, discussing stability, error reduction, and implicit vs explicit methods.

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