Large Sparse Matrix Summation
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi, Everyone:
Suppose I have a very large M*N sparse matrix A, where M=K*N, I need to equally split it into K N*N matrices and sum it up, I can't use loop, so I tried to use:
sum(reshape(A',N,N,K),3);
However, this command can't reshape sparse matrix into a 3-D array, is there any other way to do it? (without loop or converge to dense matrix)
Many Thanks
1 Kommentar
Akzeptierte Antwort
Teja Muppirala
am 22 Apr. 2013
This seems to work well:
% Making some random data...
N = 1000;
K = 100;
A = sprand(N*K,N,0.0001);
[r,c,val] = find(A);
rnew = mod(r-1,N)+1; % Shift all the row values to [1-->N]
Asum = accumarray([rnew c],val,[N N],[],[],true); % The answer
2 Kommentare
Teja Muppirala
am 22 Apr. 2013
I guess that last line would be simpler as this:
Asum = sparse(rnew,c,val,N,N);
Weitere Antworten (1)
Cedric
am 22 Apr. 2013
Bearbeitet: Cedric
am 22 Apr. 2013
Why can't you use a loop? Is K that large?
If you are looking for efficiency, I'd say that you could directly build A in a way that sums up these N*N blocks, by working on indices using a modulus for row indices. As SPARSE works like ACCUMARRAY when multiple indices are similar, you would have the summation. Example:
N = 4 ;
I = randi(3*N, 5*N, 1) ;
J = randi(N, 5*N, 1) ;
V = 50 + randi(10, 5*N, 1) ;
% - First method: assumes that A already built.
A = sparse(I, J, V, 3*N, N) ;
full(A)
[r,c,v] = find(A) ;
r = 1 + mod(r-1, N) ;
A_sum = sparse(r, c, v, N, N) ;
% - Second method: build directly the sum from indices.
I = 1 + mod(I-1, N) ;
B = sparse(I, J, V, N, N) ;
% - Check.
full(A_sum)
full(B)
full(all(A_sum(:) == B(:)))
Running this, you get (RANDI will generate something else if you test it):
ans =
0 55 0 0
60 0 51 0
0 54 0 112
0 0 0 0
52 0 0 114
0 59 115 0
57 51 0 0
0 56 0 56
0 55 0 0
0 0 0 0
54 0 56 0
0 51 0 0
ans =
52 110 0 114
60 59 166 0
111 105 56 112
0 107 0 56
ans =
52 110 0 114
60 59 166 0
111 105 56 112
0 107 0 56
ans =
1
3 Kommentare
Siehe auch
Kategorien
Mehr zu Sparse Matrices finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!