C++用分治法求解矩阵乘法
时间: 2023-10-22 10:06:50 浏览: 144
矩阵乘法可以使用分治法来解决,其基本思路是将两个矩阵分别划分为四个子矩阵,并且递归地计算这些子矩阵的乘积。下面是一个简单的C语言实现:
```c
#include <stdio.h>
// 矩阵乘法
void matrix_multiply(int n, int A[][n], int B[][n], int C[][n]) {
if (n == 1) {
C[0][0] = A[0][0] * B[0][0];
return;
}
int i, j;
int m = n / 2;
int A11[m][m], A12[m][m], A21[m][m], A22[m][m];
int B11[m][m], B12[m][m], B21[m][m], B22[m][m];
int C11[m][m], C12[m][m], C21[m][m], C22[m][m];
int P1[m][m], P2[m][m], P3[m][m], P4[m][m], P5[m][m], P6[m][m], P7[m][m];
// 将A和B分成四个子矩阵
for (i = 0; i < m; i++) {
for (j = 0; j < m; j++) {
A11[i][j] = A[i][j];
A12[i][j] = A[i][j + m];
A21[i][j] = A[i + m][j];
A22[i][j] = A[i + m][j + m];
B11[i][j] = B[i][j];
B12[i][j] = B[i][j + m];
B21[i][j] = B[i + m][j];
B22[i][j] = B[i + m][j + m];
}
}
// 计算七个子问题
matrix_multiply(m, A11, B11, P1);
matrix_multiply(m, A12, B21, P2);
matrix_multiply(m, A11, B12, P3);
matrix_multiply(m, A12, B22, P4);
matrix_multiply(m, A21, B11, P5);
matrix_multiply(m, A22, B21, P6);
matrix_multiply(m, A21, B12, P7);
matrix_multiply(m, A22, B22, C22);
// 计算C的四个子矩阵
for (i = 0; i < m; i++) {
for (j = 0; j < m; j++) {
C11[i][j] = P1[i][j] + P2[i][j];
C12[i][j] = P3[i][j] + P4[i][j];
C21[i][j] = P5[i][j] + P6[i][j];
C22[i][j] = P1[i][j] + P4[i][j] - P5[i][j] + P7[i][j];
}
}
// 将四个子矩阵合并
for (i = 0; i < m; i++) {
for (j = 0; j < m; j++) {
C[i][j] = C11[i][j];
C[i][j + m] = C12[i][j];
C[i + m][j] = C21[i][j];
C[i + m][j + m] = C22[i][j];
}
}
}
int main() {
int n = 4;
int A[][4] = {{1, 2, 3, 4}, {5, 6, 7, 8}, {9, 10, 11, 12}, {13, 14, 15, 16}};
int B[][4] = {{1, 2, 3, 4}, {5, 6, 7, 8}, {9, 10, 11, 12}, {13, 14, 15, 16}};
int C[][4] = {{0, 0, 0, 0}, {0, 0, 0, 0}, {0, 0, 0, 0}, {0, 0, 0, 0}};
matrix_multiply(n, A, B, C);
int i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
printf("%d ", C[i][j]);
}
printf("\n");
}
return 0;
}
```
该实现中,矩阵乘法函数`matrix_multiply()`使用了递归的思想,将两个矩阵分别划分为四个子矩阵,并且递归地计算这些子矩阵的乘积。在计算子矩阵乘积的过程中,还涉及到了计算七个子问题,以及将四个子矩阵合并成一个矩阵的操作。
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