Given two sparse matrices A and B, return the result of AB.
You may assume that A's column number is equal to B's row number.
Example:
A = [
[ 1, 0, 0],
[-1, 0, 3]
]
B = [
[ 7, 0, 0 ],
[ 0, 0, 0 ],
[ 0, 0, 1 ]
]
| 1 0 0 | | 7 0 0 | | 7 0 0 |
AB = | -1 0 3 | x | 0 0 0 | = | -7 0 3 |
| 0 0 1 |
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學渣連矩陣乘法都忘記了,折騰了好久才搞懂,然後寫了個大腦都不用動的code居然還能過:
class Solution {
public:
vector<vector<int>> multiply(vector<vector<int>>& A, vector<vector<int>>& B) {
int m = A.size(), n = A[0].size(), nB = B[0].size();
vector<vector<int>> res(m, vector<int>(B[0].size(),0));
for(int i = 0; i < m; i++){
for(int k = 0; k < n; k++){
if(A[i][k] != 0)
for(int j = 0; j < n; j++){
res[i][j] += A[i][k] * B[k][j];
}
}
}
return res;
}
};
就是說用A中的每個元素去乘B,如果A[i][j]=0
就沒必要算了啊,這樣子。。
但是我沒看懂(偷懶沒仔細看。。。)discuss分享的那個方法。。要再想想!!!