How to trim a series of arrays in Matlab by eliminating elements - arrays

Question

I wonder if there is a way of looping through a number of arrays of different sizes and trimming data from the beginning of each array in order to achieve the same amount of elements in each array?
For instance, if I have:
A = [4 3 9 8 13]
B = [15 2 6 11 1 12 8 9 10 13 4]
C = [2 3 11 12 10 9 15 4 14]
and I want B an C to lose some elements at the beginning, such that they end up being 5 elements in length, just like A, to achieve:
A = [4 3 9 8 13]
B = [8 9 10 13 4]
C = [10 9 15 4 14]
How would I do that?
EDIT/UPDATE:
I have accepted the answer proposed by #excaza, who wrote a nice function called "naivetrim". I saved that function as a .m script and then used it: First I define my three arrays and, as #excaza suggests, called the function:
[A, B, C] = naivetrim(A, B, C);
Another solution variation that worked for me - based on #Sardar_Usama's answer below (looping it). I liked this as well, because it was a bit more straightforward (with my level, I can follow what is happening in the code)
A = [4 3 9 8 13]
B = [15 2 6 11 1 12 8 9 10 13 4]
C = [2 3 11 12 10 9 15 4 14]
arrays = {A,B,C}
temp = min([numel(A),numel(B), numel(C)]); %finding the minimum number of elements
% Storing only required elements
for i = 1:size(arrays,2)
currentarray = arrays{i}
arrays(i) = {currentarray(end-temp+1:end)}
end

Answer 1

A naive looped solution:
function testcode()
% Sample data arrays
A = [4, 3, 9, 8, 13];
B = [15, 2, 6, 11, 1, 12, 8, 9, 10, 13, 4];
C = [2, 3, 11, 12, 10, 9, 15, 4, 14];
[A, B, C] = naivetrim(A, B, C);
end
function varargout = naivetrim(varargin)
% Assumes all inputs are vectors
% Find minumum length
lengths = zeros(1, length(varargin), 'uint32'); % Preallocate
for ii = 1:length(varargin)
lengths(ii) = length(varargin{ii});
end
% Loop through input arrays and trim any that are longer than the shortest
% input vector
minlength = min(lengths);
varargout = cell(size(varargin)); % Preallocate
for ii = 1:length(varargout)
if length(varargin{ii}) >= minlength
varargout{ii} = varargin{ii}(end-minlength+1:end);
end
end
end
Which returns:
A =
4 3 9 8 13
B =
8 9 10 13 4
C =
10 9 15 4 14
If you have a large number of arrays you may be better off with alternative intermediate storage data types, like cells or structures, which would be "simpler" to assign and iterate through.
Timing code for a few different similar approaches can be found in this Gist.
Performance Profile, MATLAB (R2016b)
Number of Elements in A: 999999
Number of Elements in B: 424242
Number of Elements in C: 101325
Trimming, deletion: 0.012537 s
Trimming, copying: 0.000430 s
Trimming, cellfun copying: 0.000493 s

Answer 2

If there are not many matrices then it can be done as:
temp = min([numel(A),numel(B), numel(C)]); %finding the minimum number of elements
% Storing only required elements
A = A(end-temp+1:end);
B = B(end-temp+1:end);
C = C(end-temp+1:end);