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Gauss-Seidel method using MATLAB(mfile)


% Gauss-Seidel method

 n=input('Enter number of equations, n:  ');
 A = zeros(n,n+1);
 x1 = zeros(n);
 tol = input('Enter the tolerance, tol: ');
 m = input('Enter maximum number of iterations, m:  ');

 A=[4 2 3 8; 3 -5 2 -14; -2 3 8 27];
 x1=[0 0 0];

 k = 1;
 while  k <= m
    err = 0;
    for i = 1 : n
       s = 0;
       for j = 1 : n
          s = s-A(i,j)*x1(j);
       end
       s = (s+A(i,n+1))/A(i,i);
       if abs(s) > err
         err  = abs(s);
       end
       x1(i) = x1(i) + s;
    end

    if err <= tol
      break;
    else
      k = k+1;
    end
 end

 fprintf('Solution vector after %d iterations is :\n', k-1);
 for i = 1 : n
   fprintf(' %11.8f \n', x1(i));
 end
%Gauss_Seidel.m

%Displaying Gauss_Seidel.m.
OUTPUT:
>> GaussSeidelmethod
Enter number of equations, n:  3
Enter the tolerance, tol: 0.001
Enter maximum number of iterations, m:  100
Solution vector after 8 iterations is :
 -0.99984713 
  3.00008152 
  2.00000765 
>> 

1 comment:

  1. The Gauss-Seidel method is an iterative method that can be used to solve systems of linear equations and is especially useful in engineering and numerical analysis. This post describes how to implement the Gauss-Seidel method in MATLAB using an .m file and includes examples to support the simple application of the method. If you are learning numerical methods and are asking yourself how to implement them in code, this post can really provide help - even if you are mentally computing, Who will Do My Assignment for me?

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