运算符重载矩阵乘法 [英] Operator Overloading Matrix Multiplication
本文介绍了运算符重载矩阵乘法的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
Matrix::Matrix(int row, int col)
{
rows = row;
cols = col;
cx = (float**)malloc(rows * sizeof(float*)); //initialize pointer to pointer matrix
for (int i = 0; i < rows; i++)
*(cx + i) = (float*)malloc(cols * sizeof(float));
}
Matrix Matrix::operator * (Matrix dx)
{
Matrix mult(rows, cols);
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
mult.cx[i][j] = 0;
for (int k = 0; k < ?;k++) //?????????????
{
mult.cx[i][j] += cx[i][k] * dx.cx[k][j];
}
}
}
mult.print();
return mult;
//calling
Matrix mult(rowA, colB);
mult = mat1 * mat2;
}
推荐答案
线性代数规则规定结果的维度应为行x dx.cols
Matrix Matrix::operator * (Matrix dx)
{
Matrix mult(rows, dx.cols);
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
mult.cx[i][j] = 0;
for (int k = 0; k < cols;k++) //?????????????
{
mult.cx[i][j] += cx[i][k] * dx.cx[k][j];
}
}
}
mult.print();
return mult;
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