Using vectorization to shorten run time
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Have never used vectorization (or much Matlab in general) & I'm attempting to use it to shorten the run time of my code.
I want to iterate through each value of "p" and "d" to create a 2x10,000 matrix of all possible combinations.
This is my current attempt at using vectorization.... p & d increase together so there's only 100 columns of X being filled. Is there a way to fix this while still minimizing run time? Thanks!
p = -200:4:200;
d = -10:.2:10;
X = zeros(2,10000);
for i = 1:1:100
X(1,i) = p(i);
X(2,i) = d(i);
end
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