I have a bunch of matrices of the same size m*n: a, b, c, d, and I'd like to find the maximum of them elementwise, like:
mx = max(a, max(b, max(c, d)));
apparently the code above is not concise enough, I've googled and didn't find much help about max on N matrices, or any matlab function like python's reduce. I haven't learned much about matlab, so is there one?
Make a n*m*4 matrix of your input, then you can use max:
M=cat(3,a,b,c,d)
max(M,[],3)
The cat with parameter 3 concatenates your matrices along the third dimension, and max finds the maximum along this dimension. To be compatible with arbitrary matrix dimensions:
d=ndims(a)
M=cat(d+1,a,b,c,d)
max(M,[],d+1)
Reduce itself does not exist, and typically you don't need it because multi dimensional inputs or varargin do the trick, but if you need it, it's simple to implement:
function r=reduce(f,varargin)
%example reduce(@max,2,3,4,5)
while numel(varargin)>1
varargin{end-1}=f(varargin{end-1},varargin{end});
varargin(end)=[];
end
r=varargin{1};
end
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