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function to resolve Ax=B
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Hello, Can you help me to resolve Ax=B by gauss elimination in matlab with
A =
-2.1000 -0.5000 -0.9000 -1.9000 1.2000 0.1000
0.6000 0 -1.9000 2.4000 -1.7000 0.2000
2.0000 -0.5000 0 -0.2000 0.4000 -0.5000
2.2000 0.1000 1.2000 0.4000 0.5000 0.7000
3.3800 0.6400 -3.4100 4.0800 -1.8900 1.4600
-0.2300 -0.1900 0.2300 2.6700 -2.7600 -1.1300
-0.6400 -0.1400 -1.0500 0.0200 -0.0200 0.2200
b =
-0.8000
-0.8000
0.7000
1.7000
1.4000
-2.3600
-0.4600
Here is what i have done , but i have an error : Index in position 2 exceeds array bounds (must not exceed 7).
function x = GAUSS_ELIM(A, b)
%% Create permutation vector
n = size(A, 1); % Size of input matrix
r = zeros(n, 1); % Initialize permutation vector
for i = 1 : 1 : n
r(i) = i;
end
%% Apply Gaussian elimination and rearrange permutation vector
x = zeros(n, 1); % Initialize solution vector
for k = 1 : 1 : n % Go through each element in permutation vector
% Compare each element in r(k)th column for the max
max = abs(A(r(k), r(k)));
max_pos = k;
for l = k : 1 : n
if abs(A(r(l), r(k))) > max
max = abs(A(r(l), r(k)));
max_pos = l;
end
end
% Switch the kth r-vector element with max r-vector element
temp_r = r;
r(k) = temp_r(max_pos);
r(max_pos) = temp_r(k);
% Eliminate A-vector elements in r(k)th column below r(k)th row
for i = 1 : 1 : n
if i ~= k
zeta = A(r(i), k) / A(r(k), k);
for j = k : 1 : n
A(r(i), j) = A(r(i), j) - A(r(k), j) * zeta;
end
b(r(i)) = b(r(i)) - b(r(k)) * zeta;
end
end
end
% Compute the solution frpm the diagonalized A-matrix
for i = 1 : 1 : n
x(i) = b(r(i)) / A(r(i), i);
end
end
4 Comments
dpb
on 19 Jan 2020
OK, so k is outside bounds of A.
BUT, that error is for a function gauss while your function above is named |GAUSS_ELIM| and the above code line doesn't exist in that function.
You're debugging/executing different function than you think you are, apparently.
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