internal static int[][] multiply(Matrix A, Matrix B) //AB矩阵相乘
{
if (A == null || B == null || A.tuple == null || B.tuple == null)
{
throw new NullReferenceException("请先创建矩阵！");
}
if (A.maxcol != B.maxrow) //A列数需要等于B行数
{
throw new ArgumentException("这两个矩阵不可以相乘！");
}
int[][] ArrayA = MatrixMethod.toArray(A);
int[][] ArrayB = MatrixMethod.toArray(B);
int[][] result = new int[A.maxrow][]; //根据矩阵定义可知相乘行数等于A行数，列数等于B列数
for (int i = 0; i < A.maxrow; i++)
{
int[] column = new int[B.maxcol];
for (int j = 0; j < B.maxcol; j++)
{
column[j] = 0; //所有元素初始化为0
}
result[i] = column;
}
for (int i = 0; i < A.maxrow; i++)
{
for (int j = 0; j < B.maxcol; j++)
{
for (int k = 0; k < B.maxrow; k++)
{
result[i][j] += ArrayA[i][k] * ArrayB[k][j]; //对应元素A行乘B列相加
}
}
}
return(result);
}
internal void printmatrix() //打印矩阵
{
if (tuple == null)
{
Console.WriteLine("请先创建矩阵");
return;
}
Console.WriteLine("打印矩阵");
int[][] matrix = MatrixMethod.toArray(this); //转换为二维数组
DataStruct5.printarray(matrix); //打印二维数组
}