Update Sparsity.java

Author: Swarali-31

src/main/java/com/thealgorithms/misc/Sparsity.java

@@ -1,7 +1,7 @@
 import java.util.Scanner;
 
-final class sparse {
-    private sparse() {
+final class Sparse { 
+    private Sparse() {
     }
 
     static double sparsity(int[][] mat, int rows, int cols, int zero) {
@@ -10,26 +10,28 @@ static double sparsity(int[][] mat, int rows, int cols, int zero) {
     }
 
     public static void main(String[] args) {
-        Scanner in = new Scanner(System.in);
-        System.out.println("Enter number of rows in matrix: ");
-        int n = in.nextInt();
-        System.out.println("Enter number of columns in matrix: ");
-        int m = in.nextInt();
+        Scanner in = new Scanner(System.in); // Initialize Scanner
+        try {
+            System.out.println("Enter number of rows in matrix: ");
+            int n = in.nextInt();
+            System.out.println("Enter number of columns in matrix: ");
+            int m = in.nextInt();
 
-        int[][] mat = new int[n][m];
-        int count = 0; // Counter for zeros
+            int[][] mat = new int[n][m];
+            int count = 0; // Counter for zeros
 
-        System.out.println("Enter Matrix elements: ");
-        for (int i = 0; i < n; i++) {
-            for (int j = 0; j < m; j++) {
-                mat[i][j] = in.nextInt();
-                if (mat[i][j] == 0) {
-                    count++; // Increment zero count directly
+            System.out.println("Enter Matrix elements: ");
+            for (int i = 0; i < n; i++) {
+                for (int j = 0; j < m; j++) {
+                    mat[i][j] = in.nextInt();
+                    if (mat[i][j] == 0) {
+                        count++; // Increment zero count directly
+                    }
                 }
             }
-        }
 
-        double sparsityValue = sparsity(mat, n, m, count);
-        System.out.println("Sparsity of the matrix is: " + sparsityValue);
+            double sparsityValue = sparsity(mat, n, m, count);
+            System.out.println("Sparsity of the matrix is: " + sparsityValue);
+        } 
     }
 }