Is there a better to multiply matrices with is pattern?

I have a 2 x 2 matrix A = [1 2; 3 4] and a 100 x 1 column vector B = [1 2 3 4 5 6 . . . 100]' and I want to multiply matrix A with each 2x1 sub-vector of B.

For example : [1 2; 3 4] * [1 2]

[1 2; 3 4] * [3 4]

[1 2; 3 4] * [5 6]

.

.

.

[1 2; 3 4] * [99 100]

How can I do this efficiently in code and store the results into one column vector?

[the cyclist]

What shape do you want the final result to be? 100x1? 2x50?

Answer 1

[Cedric]

Just

 C = A * reshape(B, 2, []) ;

will produce a 2x50 C matrix whose columns are the 50 solutions.

Answer 2

[Azzi Abdelmalek]

Example

A=rand(2)
B=rand(1000,1)
B=reshape(B,2,[])
out=arrayfun(@(x) A*B(:,x),1:size(B,2),'un',0)

% You can get the result as one matrix

out=cell2mpat(out)