From: Aman on 6 Jul 2010 08:00 i have this matrix and i m able to fine the maximum value in each row. But when i am using function min it gives the answer 0 which is correct. But want to find the minimum value which is greater then 0 in each row.(i.e- in row 1 & 2 its 2,in row 3 its 4,in row 4 & 5 its 1 and in row 6 its 9) please help. G_k=[0,2,11,0,5,0;2,0,0,6,0,0;11,0,0,4,7,0;0,6,4,0,1,9;5,0,7,1,0,12;0,0,0,9,12,0] G_k=sparse(G_k'); MaxG_k=max(G_k)
From: Walter Roberson on 6 Jul 2010 08:16 Aman wrote: > i have this matrix and i m able to fine the maximum value in each row. > But when i am using function min it gives the answer 0 which is correct. > But want to find the minimum value which is greater then 0 in each > row.(i.e- in row 1 & 2 its 2,in row 3 its 4,in row 4 & 5 its 1 and in > row 6 its 9) > please help. > G_k=[0,2,11,0,5,0;2,0,0,6,0,0;11,0,0,4,7,0;0,6,4,0,1,9;5,0,7,1,0,12;0,0,0,9,12,0] > > G_k=sparse(G_k'); > MaxG_k=max(G_k) There is more than one technique for this. I seem to recall reading that there is a way to do it that is specific to sparse matrices (such as you construct), but I am not sufficiently acquainted with sparse matrices to know that technique. For reasonable sized non-sparse matrices, you can use, t = G_k; t(t<=0) = inf; MinG_k = min(t); Note that this is applicable to finding the _minimum_ value such as you describe in your question, where-as your sample code was to find _maximum_ values; for maximum values, use -inf instead of inf. This would *not* be a good technique for large sparse matrices!
From: Bruno Luong on 6 Jul 2010 08:28 Walter Roberson <roberson(a)hushmail.com> wrote in message <_8FYn.6119$Zi.980(a)newsfe14.iad>... > > This would *not* be a good technique for large sparse matrices! For sparse, use FIND/ACCUMARRAY [i j s] = find(G_k) % max of non-zeros elements along column accumarray(j,s,[],@max) max(G_k) % min of non-zeros elements along column accumarray(j,s,[],@min) % Bruno
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