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Vectorization of Operation inside Matrix

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Laurel Castillo
Laurel Castillo am 18 Dez. 2018
Bearbeitet: Guillaume am 18 Dez. 2018
DH is a 7*5 double.
The values in each row of DH are used for calculation in each loop.
To speed up, I've used pre-location. But can it be faster with vectorization?
DH = psm_m.DH;
n = size(DH,1);
T_i_All = zeros(4,4,n);
for i = 1:n
T_i_All (:,:,i)= [cos(DH(i,5)) -sin(DH(i,5)) 0 DH(i,3);
(sin(DH(i,5)))*(cos(DH(i,2))) (cos(DH(i,5)))*(cos(DH(i,2))) -sin(DH(i,2)) -(sin(DH(i,2)))*DH(i,4);
(sin(DH(i,5)))*(sin(DH(i,2))) (cos(DH(i,5)))*(sin(DH(i,2))) cos(DH(i,2)) (cos(DH(i,2)))*DH(i,4);
0 0 0 1];
end
I followed the MATLAB example
t = 0:.01:10; %example
y = sin(t); %example
But it doesn't work.
i=1:n;
T_i_All (:,:,i)= [cos(DH(i,5)) -sin(DH(i,5)) 0 DH(i,3);
(sin(DH(i,5)))*(cos(DH(i,2))) (cos(DH(i,5)))*(cos(DH(i,2))) -sin(DH(i,2)) -(sin(DH(i,2)))*DH(i,4);
(sin(DH(i,5)))*(sin(DH(i,2))) (cos(DH(i,5)))*(sin(DH(i,2))) cos(DH(i,2)) (cos(DH(i,2)))*DH(i,4);
0 0 0 1];
(Error using horzcat
Dimensions of matrices being concatenated are not consistent.)
Any help? Thanks!

Akzeptierte Antwort

Guillaume
Guillaume am 18 Dez. 2018
First, permute DH so that the rows are in the 3rd dimension as in your output. Then you can vectorise your calculation:
DH = permute(psm_m.DH, [3 2 1]);
n = size(DH, 3);
T_i_All = [cos(DH(1, 5, :)), -sin(DH(1, 5, :)), repmat(0, 1, 1, n), DH(1, 3, :);
sin(DH(1, 5, :)).*cos(DH(1, 2, :)), cos(DH(1, 5, :)).*cos(DH(1, 2, :)), -sin(DH(1, 2, :)), -sin(DH(1, 2, :)).*DH(1, 4, :);
sin(DH(1, 5, :)).*sin(DH(1, 2, :)), cos(DH(1, 5, :)).*sin(DH(1, 2, :)), cos(DH(1, 2, :)), cos(DH(1, 2, :)).*DH(1, 4, :);
repmat([0 0 0 1], 1, 1, n)]
  5 Kommentare
Laurel Castillo
Laurel Castillo am 18 Dez. 2018
matrix multiplication!
Guillaume
Guillaume am 18 Dez. 2018
Bearbeitet: Guillaume am 18 Dez. 2018
I don't see a way to vectorise that. You'll have to use a loop:
composition = T_i_all;
for page = 2:size(composition, 3)
composition(:, :, page) = composition(:, :, page) * composition(:, :, page-1);
end

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