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法律Java 程序判断给定的矩阵是否为稀疏矩阵
本文将介绍如何判断给定的矩阵是否是稀疏矩阵。如果矩阵中的大多数元素为 0，则该矩阵称为稀疏矩阵。这意味着它包含非常少的非零元素。
下面是演示说明 −
假设我们的输入是 −
Input matrix: 4 0 6 0 0 9 6 0 0
所需的输出为 −
Yes, the matrix is a sparse matrix
算法
Step 1 - START Step 2 - Declare an integer matrix namely input_matrix Step 3 - Define the values. Step 4 - Iterate over each element of the matrix using two for-loops, count the number of elements that have the value 0. Step 5 - If the zero elements is greater than half the total elements, It’s a sparse matrix, else its not. Step 6 - Display the result. Step 7 - Stop
示例 1
在此，我们将所有操作绑定到“main”函数下。
public class Sparse {
public static void main(String args[]) {
int input_matrix[][] = {
{ 4, 0, 6 },
{ 0, 0, 9 },
{ 6, 0, 0 }
};
System.out.println("The matrix is defined as: ");
int rows = 3;
int column = 3;
int counter = 0;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < column; j++) {
System.out.print(input_matrix[i][j] + " ");
}
System.out.println();
}
for (int i = 0; i < rows; ++i)
for (int j = 0; j < column; ++j)
if (input_matrix[i][j] == 0)
++counter;
if (counter > ((rows * column) / 2))
System.out.println("\nYes, the matrix is a sparse matrix");
else
System.out.println("\nNo, the matrix is not a sparse matrix");
}
}输出
The matrix is defined as: 4 0 6 0 0 9 6 0 0 Yes, the matrix is a sparse matrix
示例 2
在此，我们将操作封装到函数中，展示面向对象的编程。
public class Sparse {
static int rows = 3;
static int column = 3;
static void is_sparse(int input_matrix[][]){
int counter = 0;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < column; j++) {
System.out.print(input_matrix[i][j] + " ");
}
System.out.println();
}
for (int i = 0; i < rows; ++i)
for (int j = 0; j < column; ++j)
if (input_matrix[i][j] == 0)
++counter;
if (counter > ((rows * column) / 2))
System.out.println("\nYes, the matrix is a sparse matrix");
else
System.out.println("\nNo, the matrix is not a sparse matrix");
}
public static void main(String args[]) {
int input_matrix[][] = { { 4, 0, 6 },
{ 0, 0, 9 },
{ 6, 0, 0 }
};
System.out.println("The matrix is defined as: ");
is_sparse(input_matrix);
}
}输出
The matrix is defined as: 4 0 6 0 0 9 6 0 0 Yes, the matrix is a sparse matrix
更新日期： 2022 年 3 月 29 日
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