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how to run a 3x3 matrix through a for loop and save all instances of the [3x3]

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Tommy Pestolesi
Tommy Pestolesi 2019-12-16
评论： Adam Danz 2019-12-18
I have a [3x3] transformation matrix A = [ -sind(omega*t), cosd(omega*t), 0; cosd(omega*t), sind(omega*t) cosd(phi); cosd(omega*t), sind(omega*t), sin(phi)]
omega and phi are constants defined earlier. t is the vaiable that is being looped for. if I have 300 values for t, I would like to output 300 different [3x3] matricies, each one corresponding with a different value of t. for more information t is a value that is being read in from a data sheet.

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Adam Danz
Adam Danz 2019-12-16
A is a cell array the same size as t where A{n} is the matrix for t(n).
omega = 1;
phi = 1;
t = linspace(0,5,300);
A = arrayfun(@(t)[-sind(omega*t), cosd(omega*t), 0;
cosd(omega*t), sind(omega*t) cosd(phi);
cosd(omega*t), sind(omega*t), sin(phi)],t,'UniformOutput',false);
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Adam Danz
Adam Danz 2019-12-18
From your question, "t is the vaiable that is being looped for. if I have 300 values for t".
In reality you have 900 values for t.
If I use these inputs
t = rand(300,3);
A = arrayfun(@(t)[-sind(omega*t), cosd(omega*t), 0;
cosd(omega*t), sind(omega*t) cosd(phi);
cosd(omega*t), sind(omega*t), sin(phi)],t,'UniformOutput',false);
A is a 300x3 cell array. I'm guessing that's not what you want.
It's now unclear how to apply each element of t to the transformation matrix. The current code is processing each single value of t. I suppose you want to input rows of t. Is that correct?
Adam Danz
Adam Danz 2019-12-18
maybe this is what you're looking for
t = rand(300,3);
A = arrayfun(@(i)[-sind(omega*t(i,1)), cosd(omega*t(i,1)), 0;
cosd(omega*t(i,2)), sind(omega*t(i,2)) cosd(phi);
cosd(omega*t(i,3)), sind(omega*t(i,3)), sin(phi)],1:size(t,1),'UniformOutput',false);
or perhaps this
t = rand(300,3);
A = arrayfun(@(i)[-sind(omega*t(i,1)), cosd(omega*t(i,2)), 0;
cosd(omega*t(i,1)), sind(omega*t(i,2)) cosd(phi);
cosd(omega*t(i,1)), sind(omega*t(i,2)), sin(phi)],1:size(t,1),'UniformOutput',false);
But I haven't put too much thought into it, mainly because I gotta run. Think about how the values of t are being fed into the arrayfun and how you want to apply those value to your transformation matrix. I can check back later.

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