'Sor method' presentation slideshows

Numerical Analysis

Numerical Analysis. EE, NCKU Tien-Hao Chang (Darby Chang). In the previous slide. Error estimation in system of equations vector/matrix norms LU decomposition split a matrix into the product of a lower and a upper triangular matrices

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ECE490O: Special Topics in EM-Plasma Simulations JK LEE (Spring, 2006)

643 views • 54 slides

Title of Presentation

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How to calculate potential and electric field in 3D charge-up simulation

EECE 695. How to calculate potential and electric field in 3D charge-up simulation. S.J. Kim, H.J. Lee, and J.K. Lee. Plasma Application Modeling Lab. Department of Electronic and Electrical Engineering Pohang University of Science and Technology. Oct. 11, 2005. Ion: anisotropic

396 views • 27 slides

Solving Systems of Linear Equations: Iterative Methods

Solving Systems of Linear Equations: Iterative Methods. Contents. Introduction Basic Idea Jacobi Method Gauss-Seidel Method Successive Over Relaxation (SOR) Summary. Introduction (1/2).

362 views • 21 slides

MATLAB EXAMPLES Matrix Solution Methods

MATLAB EXAMPLES Matrix Solution Methods. 58:110 Computer-Aided Engineering Spring 2005. Department of Mechanical and industrial engineering January 2005. Some useful functions. LU decomposition. Here is an example to use LU decomposition for 4X4 matrix A :.

375 views • 10 slides

MATLAB EXAMPLES Matrix Solution Methods

MATLAB EXAMPLES Matrix Solution Methods. 58:110 Computer-Aided Engineering Spring 2005. Department of Mechanical and industrial engineering January 2005. Some useful functions. LU decomposition. Here is an example to use LU decomposition for 4X4 matrix A :.

437 views • 10 slides

MATLAB EXAMPLES Matrix Solution Methods

MATLAB EXAMPLES Matrix Solution Methods. 58:111 Numerical Calculations. Department of Mechanical and Industrial Engineering. Some useful functions. LU decomposition. Here is an example to use LU decomposition for 4X4 matrix A :. >> A=[7 3 -1 2;3 8 1 -4; -1 1 4 -1; 2 -4 -1 6] A =

420 views • 10 slides

An efficient iterative method in numerical calculation

Systems of linear equations appear in many areas of scientific and engineering calculations in common. The iterative method is the basic method for solving large systems of linear equations, the basic issue involved iterative method is to construct an iterative format. However, the iterative format that we have constructed is meaningful it depends on the iteration whether is convergent. For a convergent iterative scheme, its value will depend on the speed and efficiency of convergence of the iterative process. Firstly, some classical iterative methods (Jacobi method, Gauss-Seidel method, SOR method, SSOR method, etc.) are discussed in detail, and in the theoretical analysis the convergence. Then, given a practical iterative method, in this way it can depart from any approximation, and does not require any of the original equations of transformation, greatly facilitate our operations on a number of issues, and effectiveness through numerical calculation example for the iterative method was validated.

156 views • 9 slides