Sparse Matrix Multiplication in C++

Suppose we have two matrices A and B, we have to find the result of AB. We may assume that A's column number is equal to B's row number.

So, if the input is like [[1,0,0],[-1,0,3]] [[7,0,0],[0,0,0],[0,0,1]],

then the output will be [[7,0,0],[-7,0,3]]

To solve this, we will follow these steps −

• r1 := size of A, r2 := size of B

• c1 := size of A[0], c2 := size of B[0]

• Define one 2D array ret of order r1 x c2

• Define an array sparseA[r1] of pairs

• for initialize i := 0, when i < r1, update (increase i by 1), do −

  • for initialize j := 0, when j < c1, update (increase j by 1), do −

    • if A[i, j] is not equal to 0, then −

      • insert { j, A[i, j] } at the end of sparseA[i]

• for initialize i := 0, when i < r1, update (increase i by 1), do −

  • for initialize j := 0, when j < size of sparseA[i], update (increase j by 1), do −

    • for initialize k := 0, when k < c2, update (increase k by 1), do −

      • x := first element of sparseA[i, j]

      • if B[x, k] is not equal to 0, then −

        • ret[i, k] := ret[i, k] + second element of sparseA[i, j] * B[x, k]

• return ret

Example 

Let us see the following implementation to get better understanding −

class Solution { public:    vector<vector<int<> multiply(vector<vector<int<>& A, vector<vector<int<>& B) {       int r1 = A.size();       int r2 = B.size();       int c1 = A[0].size();       int c2 = B[0].size();       vector < vector <int< > ret(r1, vector <int< (c2));       vector < pair <int, int> > sparseA[r1];       for(int i = 0; i < r1; i++){          for(int j = 0; j < c1; j++){             if(A[i][j] != 0)sparseA[i].push_back({j, A[i][j]});          }       }       for(int i = 0; i < r1; i++){          for(int j = 0; j < sparseA[i].size(); j++){             for(int k = 0; k < c2; k++){                int x = sparseA[i][j].first;                if(B[x][k] != 0){                   ret[i][k] += sparseA[i][j].second * B[x][k];                }             }          }       }       return ret;    } };

Input

{{1,0,0},{-1,0,3}},{{7,0,0},{0,0,0},{0,0,1}}

Output

[[7, 0, 0, ],[-7, 0, 3, ],]