Creating a matrix that is more time efficient
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Hey guys,
My problem is as follows.
I want to create a matrix that has certain logic like so.
% code
n = 50; % Just an arbitrary number
B = rand(1,n);
A = rand(1,n);
% The components of the vectors A and B are not necessary a number between 0 and 1. But a calculated number, but for the purpose of this problem I'd rather use this random generated vector.
for i = 1:n
for j = 1:n
if i == j
C(i, j) = 5*B(1, i) + A(1,j);
else
C(i, j) = -B(1, i) + 3*A(1, j);
end
end
end
The code up above does the works, but it takes quite a long time, since it makes each component individually.
So my question is, is there a more efficient way to create this matrix?
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James Tursa
2018년 3월 16일
편집: James Tursa
2018년 3월 16일
C = 3*A - B(:); % or C = bsxfun(@minus,3*A,B(:))
C(1:n+1:end) = 5*B + A;
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James Tursa
2018년 3월 17일
The bsxfun( ) version:
N = 1:n;
% D = sin(A)./((cos(A)-cos(A(:))).^2).*(((1-(-1).^(N-N(:)))/(2*(n+1))));
cosA = cos(A);
sinA = sin(A);
costemp = bsxfun(@minus,cosA,cosA(:));
sincostemp = bsxfun(@rdivide,sinA,costemp.^2);
Ntemp = bsxfun(@minus,N,N(:));
D = sincostemp.*(((1-(-1).^Ntemp)/(2*(n+1))));
D(1:n+1:end) = -((n+1)./(4*sinA)+B);
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