Vectorization of Operation inside Matrix
Show older comments
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!
Accepted Answer
More Answers (0)
Categories
Find more on Matrices and Arrays in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!