#include <iostream>
#include <vector>
using std::vector;
// A sparse matrix is a matrix in which the majority of elements are zero.
// To compact a sparse matrix, use a method to store only the non‑zero
// entries using a triplet representation (row, column, value).
// This reduces memory usage.
// Convert a sparse matrix into compact (triplet) form
vector<vector<int>> compactMatrix(const vector<vector<int>>& matrix) {
int rows = matrix.size();
int cols = matrix[0].size();
// Count non-zero elements
int count = 0;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (matrix[i][j] != 0) {
count++;
}
}
}
// Compact matrix has 3 rows: row index, col index, value
vector<vector<int>> compact(3, vector<int>(count));
int k = 0;
// Fill compact matrix
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (matrix[i][j] != 0) {
compact[0][k] = i; // row
compact[1][k] = j; // column
compact[2][k] = matrix[i][j]; // value
k++;
}
}
}
return compact;
}
int main() {
vector<vector<int>> matrix = {
{0, 0, 3, 0, 8, 0, 0, 0, 0},
{0, 0, 5, 7, 0, 0, 1, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 2, 6, 0, 0, 4, 0, 0, 0},
{0, 0, 0, 0, 9, 0, 0, 0, 0}
};
vector<vector<int>> compact = compactMatrix(matrix);
std::cout << "Compact matrix:\n";
for (int i = 0; i < 3; i++) {
for (int j = 0; j < compact[0].size(); j++) {
std::cout << compact[i][j] << " ";
}
std::cout << "\n";
}
}
/*
run:
Compact matrix:
0 0 1 1 1 3 3 3 4
2 4 2 3 6 1 2 5 4
3 8 5 7 1 2 6 4 9
*/