Java编写一个程序实现矩阵的运算加减乘除,(并对其中的异常进行处理)
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/**
* 矩阵:由 m × n 个数Aij排成的m行n列的数表称为m行n列的矩阵,简称m × n矩阵
* 说白了就是一个二维数组,下面的程序用整形作为数据类型,其他类型运算大同小异
*
*/
public class MatrixUtils {
/**
* 矩阵运算:加(减法与之类似)
*/
public static int[][] matrixAdd(int[][] addend, int[][] summand) {
if (addend == null || addend.length == 0) {
throw new IllegalArgumentException("addend matrix is empty!");
}
if (summand == null || summand.length == 0) {
throw new IllegalArgumentException("summand matrix is empty!");
}
//矩阵加减要求两个矩阵类型一致,即行列数相同
int row = addend.length;
int col = addend[0].length;
if (row != summand.length || col != summand[0].length) {
throw new IllegalArgumentException("summand and summand not the same type!");
}
int[][] sum = new int[row][col];
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
sum[i][j] = addend[i][j] + summand[i][j];
// sum[i][j] = addend[i][j] - summand[i][j]; //减法
}
}
return sum;
}
/**
* 矩阵运算:乘法,没找到除法的运算规则
*/
public static int[][] matrixMultiply(int[][] addend, int[][] summand) {
if (addend == null || addend.length == 0) {
throw new IllegalArgumentException("addend matrix is empty!");
}
if (summand == null || summand.length == 0) {
throw new IllegalArgumentException("summand matrix is empty!");
}
//两个矩阵的乘法仅当第一个矩阵A的列数和另一个矩阵B的行数相等时才能定义。如A是m×n矩阵和B是n×p矩阵,它们的乘积C是一个m×p矩阵
int row = addend.length;
int col = summand[0].length;
if (addend[0].length != summand.length) {
throw new IllegalArgumentException("summand and summand not the same type!");
}
int[][] sum = new int[row][col];
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
for (int z = 0; z < addend[0].length; z++) {
sum[i][j] += addend[i][z] * summand[z][j];
System.out.println("sum[" + i+ "]["+ j+"]= " + sum[i][j]);
}
}
}
return sum;
}
}
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