Adding the columns of matrix and concatenating them

I created about 900 matrices using the command genvarname. So it created matrices A1, A2,.... etc. Now, I want to sum the columns of each of these matrices and then combine them row wise. How do I do this in an efficient manner?

[Image Analyst]

Explain in detail what "sum the columns of each of these matrices and then combine them row wise" means with a small number of small matrices. You can sum each column with

columnSums = sum(yourMatrix, 1);

but what does "combine them row wise" mean???

Answer 1

[Michael Haderlein]

Each week, there are about 5-10 questions with this respect. The simple answer is, "not this way". The only way is an extensive use of eval and that's precisely what I wouldn't do. It's like carefully avoiding the benefits of Matlab.

If it isn't too much effort, start creating your variables again and put them into an array, thus, instead of something like

myvarname=genvarname(repmat({'A'},1,5));
eval([myvarname{1} '=rand(13);'])
eval([myvarname{2} '=rand(13);'])
eval([myvarname{3} '=rand(13);'])

you better do something like

for cnt=1:900
  A(:,:,cnt)=rand(13); %or whatever value the matrices have
end

You can also preallocate and improve performance this way. Then, summation of the columns is just

columnsum=sum(A,1);

The column sums are already combined row wise (if that's what you mean).

If this totally doesn't work for you because the creation of your variables took too much time, you can do something like

for cnt=1:900
  columnsum(cnt,:)=eval(['sum(', myvarname{cnt} ')']);
end

But you'll have not much fun with debugging etc, so I really wouldn't recommend that.