I have the following matrix of size m=4
0.00000 0.09130 0.09130 0.00000
0.04565 0.00000 0.00000 0.00000
0.04565 0.00000 0.00000 0.00000
0.00000 0.00000 0.00000 0.00000
And I want to replace the diagonal of that matrix with (1 - sum of its column). Resulting matrix:
0.90870 0.09130 0.09130 0.00000
0.04565 0.90870 0.00000 0.00000
0.04565 0.00000 0.90870 0.00000
0.00000 0.00000 0.00000 1.00000
So for example for (1,1) we have
1 - (0.04565 + 0.04565 + 0.00000) = 0.90870
Now the actual practice the size of m
is very large
of scale 10^6 to 10^7. So I can't afford to store the initial matrix
into a container.
Is there any memory efficient alternative way to do it?
The current is the implementation I have for slurping it into vector of vectors. It cannot handle large m (10^6).
#include <iostream>
#include <vector>
#include <fstream>
#include <sstream>
#include <map>
using namespace std;
// Initialize Matrix Before Slurping
vector <vector<double> > Matrix;
Matrix.resize(nofRow);
for(size_t i = 0; i < nofRow; ++i)
{
Matrix[i].resize(nofCol);
}
if (arg_count !=2 ) {
cerr << "expected one argument" << endl;
return EXIT_FAILURE;
}
string line;
ifstream myfile (arg_vec[1]);
// Slurpint it
int count1=0;
if (myfile.is_open())
{
while (getline(myfile,line) )
{
stringstream ss(line);
double Value;
count1++;
int count2=0;
while (ss >> Value) {
count2++;
Matrix[count1][count2] = Value;
}
}
myfile.close();
}
else { cout << "Unable to open file"; }
// Summing up Column;
vector <double> ColSum;
ColSum.resize(nofCol);
for(size_t i = 0; i < nofRow; ++i)
{
for(size_t j = 0; j < nofCol; ++j)
{
//std::cout <<"["<<i<<"]"<<"["<<j<<"] = " <<Matrix[i][j]<<std::endl;
ColSum[j] += Matrix[i][j];
}
}
// Printing it
for(size_t k = 0; k < nofRow; ++k)
{
for(size_t l = 0; l < nofCol; ++l)
{
if (k == l ) {
double OneMinusSum = 1 - ColSum[k];
//if (OneMinusSum < 0) { OneMinusSum = 1; };
std::cout << OneMinusSum << "\t";
}
else {
std::cout<< Matrix[k][l] << "\t";
}
}
std::cout << std::endl;
}