![]() ![]() Here x zero is the initial values matrix. Then we define the function Jacobi Iteration with input arguments If it isn't, an error is displayed using error function. Then it checks if twice the product of the diagonal element is greater than the sum of the elements of that row. The first half calculates the sum of each row of the matrix. We then check if matrix A is diagonally dominant. ![]() If it isn't, we use error function to display an error. Then we use size function to check if A matrix is a square matrix. Then we use input function to get the values for Here e denotes the answer should be in scientific notation.Īnd twenty specifies the number of digits to be displayed. ![]() We use format method to specify the format of the displayed answers on the Scilab console. Let us look at the code for Jacobi Method. Let us solve this example using Jacobi Method. We continue the iteration until the solution converges. Then we substitute the values in the equations obtained in the previous step. We rewrite the equations such that x of i k plus one is equal to b i minus summation of a i j x j k from j equal to one to n divided by a i i where i is from one to n. Given a system of linear equations, with n equations and n unknowns, The first iterative method we will be studying is Jacobi method. Solve system of linear equations using iterative methodsĭevelop Scilab code to solve linear equations.īefore practicing this tutorial, a learner should have basic knowledge ofįor Scilab, please refer to the relevant tutorials available on the Spoken Tutorial website. Dear Friends, Welcome to the Spoken Tutorial on Solving System of Linear Equations using Iterative Methods.Īt the end of this tutorial, you will learn how to: ![]()
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