Iterative method

Related lectures (30)

Page 3 of 3

Covers tips on matrix construction and function manipulation using MATLAB.

Explores iterative methods for linear equations, including Jacobi and Gauss-Seidel methods, convergence criteria, and the conjugate gradient method.

Explores solving linear systems and addressing nonlinearity in numerical flow simulations using multigrid and linearization methods.

Explores direct and iterative methods for solving linear equations, emphasizing symmetric matrices and computational cost.

Explores linear systems, covering direct and iterative methods for solving them with a focus on round-off errors and Richardson's algorithm.

Explores accelerating the Value Iteration algorithm using control theory and matrix splitting techniques to achieve faster convergence.

Covers the Jacobi iterative method for solving electrostatic problems and discusses convergence and practical examples.

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

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

Covers Newton-Krylov-hookstep methods for finding roots of high-dimensional systems.