Is it possible to call a vector(row/column) into a matrix instead of using for loop ?

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I have one 3X3 matrix where each element of the matrix is a function of some variable 'x',
Also, I have another vector 10x1 which contain all the values of 'x'.
I need to have a 3X3 matrix for each value of 'x' such that the resultant matrix becomes 3X3X10 (3D matrix).
I know the method of the 'for loop', but is it possible to get the same answer using vectorization and reshaping.
Code :-
Following is the code :-
if true
phi=0:pi/8:(2*pi);
Rphi=zeros(3,3,length(phi));
for i=1:length(phi)
Rphi(:,:,i)=[cos(phi(i)) sin(phi(i)) 0;-sin(phi(i)) cos(phi(i)) 0;0 0 1];
end
end
What I want is that to use some sort of vectorization instead of 'for' loop. hope it clarifies the question.
  1 件のコメント
Stephen23
Stephen23 2018 年 6 月 21 日
@Rabindra Biswas: what does " each element of the matrix is a function of some variable" mean? Do you have a function of a scalar x that returns a 3x3 matrix? If so, is the code in that function vectorized in any way? Can you please upload the code by clicking the paperclip function.

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Stephen23
Stephen23 2018 年 6 月 21 日
編集済み: Stephen23 2018 年 6 月 21 日
If the function fun has been written to accept a 1x1xN vector, then of course your could do this:
fun(reshape(x,1,1,[]))
This depends on how function fun has been written: if function fun only accept a single scalar input then you will have to use a loop (implicitly or explicitly).
  7 件のコメント
Rabindra Biswas
Rabindra Biswas 2018 年 6 月 21 日
Ohhk, No problem. Thanks a lot :)
Rabindra Biswas
Rabindra Biswas 2018 年 6 月 23 日
編集済み: Rabindra Biswas 2018 年 6 月 23 日
Hi @Stephen Cobeldick: Actually I am not solving a system of equations, what I have is for each value of phi, I have one 3x3 matrix. So, the net matrix is 3X3Xlength(phi). As you suggested earlier, reshaping help me to avoid the 'for loop'.
But now, to calculate the inverse of each 3X3 matrix, again I need to use the 'for loop' to calculate the inverse of each matrix for each value of phi. I thought maybe we could use 'reshape' once again to do the same trick.

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