本文章向大家介绍使用Java怎么实现一个矩阵加减乘除运算功能的基本知识点总结和需要注意事项，具有一定的参考价值，需要的朋友可以参考一下。
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public class MatrixOperation {
public static int[][] add(int[][] matrix_a, int[][] matrix_b) {
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
if (row != matrix_b.length || col != matrix_b[0].length) {
System.out.println("Fault");
} else {
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[i][j] = matrix_a[i][j] + matrix_b[i][j];
}
}
}
return result;
}
public static int[][] sub(int[][] matrix_a, int[][] matrix_b) {
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
if (row != matrix_b.length || col != matrix_b[0].length) {
System.out.println("Fault");
} else {
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[i][j] = matrix_a[i][j] - matrix_b[i][j];
}
}
}
return result;
}
public static int[][] dot(int[][] matrix_a, int[][] matrix_b) {
/*
* matrix_a's dimention m*p matrix_b's dimention p*n. return dimention
* m*n
*/
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
if (col != matrix_b.length) {
System.out.println("Fault");
} else {
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[i][j] = 0;
for (int k = 0; k < col; k++) {
result[i][j] += matrix_a[i][k] * matrix_b[k][j];
}
}
}
}
return result;
}
public static int[][] dot(int[][] matrix_a, int b) {
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[i][j] = matrix_a[i][j] * b;
}
}
return result;
}
public static int[][] mul(int[][] matrix_a, int[][] matrix_b) {
/*
* matrix_a's dimention m*n matrix_b's dimention m*n. return dimention
* m*n
*/
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
if (row != matrix_b.length || col != matrix_b[0].length) {
System.out.println("Fault");
} else {
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[i][j] = matrix_a[i][j] * matrix_b[i][j];
}
}
}
return result;
}
public static int[][] transport(int[][] matrix_a) {
int row = matrix_a.length;
int col = matrix_a[0].length;
int[][] result = new int[row][col];
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
result[j][i] = matrix_a[i][j];
}
}
return result;
}
public static void print(int[][] matrix) {
int row = matrix.length;
int col = matrix[0].length;
for (int i = 0; i < row; i++) {
System.out.print("[");
for (int j = 0; j < col; j++) {
System.out.print(matrix[i][j]);
if (j != col - 1) {
System.out.print(", ");
}
}
System.out.print("]\n");
}
}
public static void main(String[] args) {
int[][] a = { { 1, 2 }, { 3, 4 } };
int[][] b = { { 7, 8 }, { 6, 5 } };
int[][] c = add(a, b);
System.out.println("创新互联测试结果如下：");
System.out.println("matrix a = ");
print(a);
System.out.println("matrix b = ");
print(b);
System.out.println("matrix a + b = ");
print(c);
c = sub(a, b);
System.out.println("matrix a - b = ");
print(c);
int[][] d = dot(a, b);
System.out.println("matrix a dot b = ");
print(d);
int[][] e = dot(a, 3);
System.out.println("matrix a * 3 = ");
print(e);
int[][] f = transport(a);
System.out.println("matrix a.T = ");
print(f);
int[][] g = mul(a, b);
System.out.println("matrix a * b = ");
print(g);
}
}运行结果：
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