Printing Sparse Matrix in mex function in CCS format
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Hi,
I am relatively new user of mex and matlab.I have to do some operations on sparse matrices,which also includes printing them in CCS format.Here is the code that I have written.
#include "mex.h"
void mexFunction(int nlhs,mxArray *plhs[],int nrhs,const mxArray *prhs[])
{
double *A;
int *jc,*ir;
int m,n,size;
int i;
A = mxGetPr(prhs[0]);
m = mxGetM(prhs[0]);
n = mxGetN(prhs[0]);
jc = (int*) mxGetJc(prhs[0]);
ir = (int*) mxGetIr(prhs[0]);
size = mxGetNzmax(prhs[0]);
plhs[0] = mxCreateSparse(m,n,size,mxREAL);
mexPrintf("JC: ");
for(i = 0; i < m;i++)
{
mexPrintf("%d ",jc[i]);
}
mexPrintf("\n");
mexPrintf("IR:");
for(i = 0;i < size;i++)
{
mexPrintf("%d ",ir[i]);
}
mexPrintf("\n");
mexPrintf("Values:");
for(i = 0;i < size;i++)
{
mexPrintf("%g ",A[i]);
}
mexPrintf("\n");
}
But the output that I am getting is like this.
>> a = sprand(4,4,0.3)
a =
(1,1) 0.4898
(3,2) 0.6463
(4,2) 0.7094
(2,4) 0.4456
(4,4) 0.7547
>> com(a)
JC: 0 0 1 0
IR:0 0 2 0 3
Values:0.489764 0.646313 0.709365 0.445586 0.754687
ans =
All zero sparse: 4-by-4
>> full(a)
ans =
0.4898 0 0 0
0 0 0 0.4456
0 0.6463 0 0
0 0.7094 0 0.7547
Is this correct? since I dont see the row indices getting printed correctly.Further, is there any in built function to print the sparse matrices in CCS format?
Kindly reply.
Cheers.
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更多回答(3 个)
James Tursa
2012-5-16
To print out the raw array contents:
void spprintraw(const mxArray *mx)
{
mwSize n;
mwIndex *ir, *jc;
mwIndex j, N;
double *pr;
if( !mxIsSparse(mx) ) return;
n = mxGetN(mx);
pr = mxGetPr(mx);
ir = mxGetIr(mx);
jc = mxGetJc(mx);
N = jc[n];
mexPrintf("JC:\n");
for( j=0; j<=n; j++ ) {
mexPrintf("%d ",jc[j]);
}
mexPrintf("\n");
mexPrintf("IR:\n");
for( j=0; j<N; j++ ) {
mexPrintf("%d ",ir[j]);
}
mexPrintf("\n");
mexPrintf("VAL:\n");
for( j=0; j<N; j++ ) {
mexPrintf("%g ",pr[j]);
}
mexPrintf("\n");
}
Keep the following points in mind:
- mxGetNzmax is useless for this. mxGetNzmax returns the amount of memory that is allocated for the sparse arrays stuff, which is not the same as the number of non-zeros presently in the array. Use jc[mxGetN(prhs[0])] to get the actual number of non-zero values held in the array currently.
- All indexing is 0-based, not 1-based.
- The jc array is the size of number_or_columns+1. It is basically an accumulation array containing the number of non-zero elements in total for all of the previous columns (which is why the last value in the array is the total number of non-zero elements in the array currently). It does not contain column indexes.
Abhishek
2012-5-16
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1 个评论
James Tursa
2012-5-16
To put it explicitly:
jc[0] = 0
jc[1] = The number of non-zero elements stored for 1st column
jc[2] = The number of non-zero elements stored for 1st-2nd columns
jc[3] = The number of non-zero elements stored for 1st-3rd columns
:
etc.
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