用c++实现:实现泛型矩阵的基本运算。 首先,定义一个矩阵类作为基类,类中需要包含维度值m(行)和n(列)。 并在构造函数中动态申请内存空间,实例化m*n的int型二维数组,重载+和- 作为矩阵加减法运算符,包含按照m行n列打印出矩阵的show方法,析构函数 包含动态释放内存空间。 接下来,定义一个4*4方阵类作为矩阵类的派生类,包含成员方法求行列 式的值,包含成员方法左乘矩阵打印出结果,注意规格检查。 最后,定义一个主函数,随机生成5*6矩阵A,5*6矩阵B,56矩阵C,计 算A+B,A-C:随机生成4*4方阵D,4*4方阵E,计算DE,计算D和E的行列 式,判断D*A的可计算性。
时间: 2024-02-06 12:12:24 浏览: 27
好的,我会根据您的要求来回答您的问题。
以下是C++代码实现,实现泛型矩阵的基本运算:
```c++
#include <iostream>
#include <cstdlib>
using namespace std;
template <typename T>
class Matrix
{
protected:
int m, n; // 行和列
T **matrix; // 矩阵
public:
Matrix(int row, int col) : m(row), n(col)
{
matrix = new T *[m];
for (int i = 0; i < m; i++)
{
matrix[i] = new T[n];
for (int j = 0; j < n; j++)
{
matrix[i][j] = 0;
}
}
}
Matrix(const Matrix &other)
{
m = other.m;
n = other.n;
matrix = new T *[m];
for (int i = 0; i < m; i++)
{
matrix[i] = new T[n];
for (int j = 0; j < n; j++)
{
matrix[i][j] = other.matrix[i][j];
}
}
}
Matrix operator+(const Matrix &other)
{
if (m != other.m || n != other.n)
{
cout << "Error: Matrix dimension does not match." << endl;
exit(1);
}
Matrix result(m, n);
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
result.matrix[i][j] = matrix[i][j] + other.matrix[i][j];
}
}
return result;
}
Matrix operator-(const Matrix &other)
{
if (m != other.m || n != other.n)
{
cout << "Error: Matrix dimension does not match." << endl;
exit(1);
}
Matrix result(m, n);
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
result.matrix[i][j] = matrix[i][j] - other.matrix[i][j];
}
}
return result;
}
void show()
{
for (int i = 0; i < m; i++)
{
for (int j = 0; j < n; j++)
{
cout << matrix[i][j] << "\t";
}
cout << endl;
}
}
~Matrix()
{
for (int i = 0; i < m; i++)
{
delete[] matrix[i];
}
delete[] matrix;
}
};
class SquareMatrix : public Matrix<int>
{
public:
SquareMatrix() : Matrix<int>(4, 4) {}
int determinant()
{
if (m != n)
{
cout << "Error: Not a square matrix." << endl;
exit(1);
}
int det = 0;
if (m == 2)
{
det = matrix[0][0] * matrix[1][1] - matrix[0][1] * matrix[1][0];
}
else
{
for (int k = 0; k < m; k++)
{
SquareMatrix temp;
for (int i = 1; i < m; i++)
{
int j1 = 0;
for (int j = 0; j < m; j++)
{
if (j == k)
continue;
temp.matrix[i - 1][j1] = matrix[i][j];
j1++;
}
}
det += matrix[0][k] * pow(-1, k) * temp.determinant();
}
}
return det;
}
void multiply(SquareMatrix &other)
{
if (n != other.m)
{
cout << "Error: Matrix dimension does not match." << endl;
exit(1);
}
SquareMatrix result;
for (int i = 0; i < m; i++)
{
for (int j = 0; j < other.n; j++)
{
for (int k = 0; k < n; k++)
{
result.matrix[i][j] += matrix[i][k] * other.matrix[k][j];
}
}
}
result.show();
}
void printRank()
{
cout << "Rank of the matrix is: " << determinant() << endl;
}
};
int main()
{
// 随机生成5*6矩阵A和B
Matrix<int> A(5, 6);
Matrix<int> B(5, 6);
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 6; j++)
{
A.matrix[i][j] = rand() % 10;
B.matrix[i][j] = rand() % 10;
}
}
// 计算A+B和A-B
cout << "A + B = " << endl;
(A + B).show();
cout << endl;
cout << "A - B = " << endl;
(A - B).show();
cout << endl;
// 随机生成4*4方阵D和E
SquareMatrix D;
SquareMatrix E;
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
{
D.matrix[i][j] = rand() % 10;
E.matrix[i][j] = rand() % 10;
}
}
// 计算DE
cout << "D * E = " << endl;
D.multiply(E);
cout << endl;
// 计算D和E的行列式
cout << "Rank of D: ";
D.printRank();
cout << endl;
cout << "Rank of E: ";
E.printRank();
cout << endl;
// 判断D*A的可计算性
if (D.n == A.m)
{
cout << "D * A is computable." << endl;
}
else
{
cout << "D * A is not computable." << endl;
}
return 0;
}
```
请注意,此代码使用模板类实现了泛型矩阵,并使用继承创建了一个特殊的方阵类。在主函数中,我们随机生成了两个5x6矩阵A和B,并计算了A + B和A - B。我们还随机生成了两个4x4方阵D和E,并计算了它们的乘积DE,以及D和E的行列式。最后,我们判断了D * A的可计算性。