% Solving Ax=b using Gauss Siedel Method
A=[3 1 1; 3 1 -5;1 3 -1];
b=[5;-1;3];
Ab=[A b];
% Rearranging to get diagonaly dominant matrix
As=[Ab(1,:);Ab(3,:);Ab(2,:)];
% Initializing
n=3;
x=zeros(n,1);
error=zeros(n,1);
% G-S Iterations
for iter =1:10
for k=1:n
xold=x(k);
num=As(k,end)-As(k,1:k-1)*x(1:k-1)-As(k,k+1:n)*x(k+1:n);
x(k)=num/As(k,k);
error(k)=abs(x(k)-xold);
end
disp(['Iter' ,num2str(iter),' Error= ',num2str(max(error))]);
disp(x)
end
Before running the below code please define Matrix A and vector b in command window. As shown below
>>A=[3,1,1;3,1,-5;1,3,-1];
>> b=[5;-1;3];
% Gauss elimination method with out pivoting;
function x = Gauss(A, b)
[n, n] = size(A);
[n, k] = size(b);
x = zeros(n,k);
for i = 1:n-1
m = -A(i+1:n,i)/A(i,i); % multipliers
A(i+1:n,:) = A(i+1:n,:) + m*A(i,:);
b(i+1:n,:) = b(i+1:n,:) + m*b(i,:);
end;
% Use back substitution to find unknowns
x(n,:) = b(n,:)/A(n,n);
for i = n-1:-1:1
x(i,:) = (b(i,:) - A(i,i+1:n)*x(i+1:n,:))/A(i,i);
end
As we can see after running these code we are not getting the solution without pivoting. So pivoting is necessary to get the solution.
Using MatLab!!!! 1.b 1. Program the Gauss-Seidel method and test it on these examples: ( 3x...
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Need with help understanding gauss elimination in a simple way. −3x[2] + 7x[3] = 4 x[1] + 2x[2] − x[3] = 0 5x[1] − 2x[2] = 3 Use Gauss elimination with partial pivoting to solve for the x’s. As part of the computation, Calculate the determinant.
Chapter 04.08:Problem #1 1. Solve the following system of equations using the Gauss-Seidel method. 12x, + 7х, + 3x, %3D17 Зх, + 6х, +2х, 3D9 2x1+7x2-11x,49 = Conduct 3 iterations. Calculate the maximum absolute relative approximate error at the end of each iteration. Choose [x, x,J= [1 3 5 as your initial guess. x, Chapter 04.08:Problem #1 1. Solve the following system of equations using the Gauss-Seidel method. 12x, + 7х, + 3x, %3D17 Зх, + 6х, +2х, 3D9 2x1+7x2-11x,49...
3 Linear systems 18. Solve the linear system of equations using the Naive Gauss elimination method x,+x: + x) = 1 +2x, +4x1 x 19. Solve the linear system of equations using the Gauss elimination method with partial pivoting 12x1 +10x2-7x3=15 6x, + 5x2 + 3x3 =14 24x,-x2 + 5x, = 28 20. Find the LU decomposition for the following system of linear equations 6x, +2x, +2, 2 21. Find an approximate solution for the following linear system of equations...
PLEASE SHOW WORK Question 7 Ор Given the system 3x – 2y + 5z = -5 3- y + 32 = -3 4x + y + z = -6 write the augmented matrix and solve using Gaussian or Gauss-Jordan elimination
Chapter 04.08:Problem #1 Solve the following system of equations using the Gauss-Seidel method. 1 12х, + 7х, + 3x, %317 Зх, + 6х, + 2х, %3D9 2x, + 7x, -11х, %3D 49 Conduct 3 iterations. Calculate the maximum absolute relative approximate error at x x[ 3 s] as your initial guess the end of each iteration. Choose Chapter 04.08:Problem #1 Solve the following system of equations using the Gauss-Seidel method. 1 12х, + 7х, + 3x, %317 Зх, + 6х,...
In matlab, what is the code for the problem. (a) use the Gauss-Seidel method to solve the following system until the percent relative error falls below s a. 5%. 10x1 + 2x2-x,-27 3x1 -6x2 + 2x3 61.5 25x321.5 b. (b) write an M-file to implement the Gauss-Seidel method using the above system as a test case (a) use the Gauss-Seidel method to solve the following system until the percent relative error falls below s a. 5%. 10x1 + 2x2-x,-27 3x1...