style: enable MethodName in CheckStyle (#5182)

enabled: MethodName in CheckStyle

src/main/java/com/thealgorithms/dynamicprogramming/KadaneAlgorithm.java

@@ -10,7 +10,7 @@ public final class KadaneAlgorithm {
     private KadaneAlgorithm() {
     }
 
-    public static boolean max_Sum(int[] a, int predicted_answer) {
+    public static boolean maxSum(int[] a, int predicted_answer) {
         int sum = a[0];
         int running_sum = 0;
         for (int k : a) {

src/main/java/com/thealgorithms/dynamicprogramming/LongestAlternatingSubsequence.java

@@ -16,7 +16,7 @@ public final class LongestAlternatingSubsequence {
     }
 
     /* Function to return longest alternating subsequence length*/
-    static int AlternatingLength(int[] arr, int n) {
+    static int alternatingLength(int[] arr, int n) {
         /*
 
                 las[i][0] = Length of the longest
@@ -68,6 +68,6 @@ public final class LongestAlternatingSubsequence {
         int[] arr = {10, 22, 9, 33, 49, 50, 31, 60};
         int n = arr.length;
         System.out.println("Length of Longest "
-            + "alternating subsequence is " + AlternatingLength(arr, n));
+            + "alternating subsequence is " + alternatingLength(arr, n));
     }
 }

src/main/java/com/thealgorithms/dynamicprogramming/LongestIncreasingSubsequence.java

@@ -20,7 +20,7 @@ public final class LongestIncreasingSubsequence {
         return r;
     }
 
-    public static int LIS(int[] array) {
+    public static int lis(int[] array) {
         int N = array.length;
         if (N == 0) {
             return 0;

src/main/java/com/thealgorithms/dynamicprogramming/LongestPalindromicSubsequence.java

@@ -12,14 +12,14 @@ public final class LongestPalindromicSubsequence {
         String a = "BBABCBCAB";
         String b = "BABCBAB";
 
-        String aLPS = LPS(a);
-        String bLPS = LPS(b);
+        String aLPS = lps(a);
+        String bLPS = lps(b);
 
         System.out.println(a + " => " + aLPS);
         System.out.println(b + " => " + bLPS);
     }
 
-    public static String LPS(String original) throws IllegalArgumentException {
+    public static String lps(String original) throws IllegalArgumentException {
         StringBuilder reverse = new StringBuilder(original);
         reverse = reverse.reverse();
         return recursiveLPS(original, reverse.toString());

src/main/java/com/thealgorithms/dynamicprogramming/LongestPalindromicSubstring.java

@@ -11,14 +11,14 @@ public final class LongestPalindromicSubstring {
         String a = "babad";
         String b = "cbbd";
 
-        String aLPS = LPS(a);
-        String bLPS = LPS(b);
+        String aLPS = lps(a);
+        String bLPS = lps(b);
 
         System.out.println(a + " => " + aLPS);
         System.out.println(b + " => " + bLPS);
     }
 
-    private static String LPS(String input) {
+    private static String lps(String input) {
         if (input == null || input.length() == 0) {
             return input;
         }

src/main/java/com/thealgorithms/dynamicprogramming/MatrixChainRecursiveTopDownMemoisation.java

@@ -10,7 +10,7 @@ public final class MatrixChainRecursiveTopDownMemoisation {
     private MatrixChainRecursiveTopDownMemoisation() {
     }
 
-    static int Memoized_Matrix_Chain(int[] p) {
+    static int memoizedMatrixChain(int[] p) {
         int n = p.length;
         int[][] m = new int[n][n];
         for (int i = 0; i < n; i++) {
@@ -18,10 +18,10 @@ public final class MatrixChainRecursiveTopDownMemoisation {
                 m[i][j] = Integer.MAX_VALUE;
             }
         }
-        return Lookup_Chain(m, p, 1, n - 1);
+        return lookupChain(m, p, 1, n - 1);
     }
 
-    static int Lookup_Chain(int[][] m, int[] p, int i, int j) {
+    static int lookupChain(int[][] m, int[] p, int i, int j) {
         if (i == j) {
             m[i][j] = 0;
             return m[i][j];
@@ -30,7 +30,7 @@ public final class MatrixChainRecursiveTopDownMemoisation {
             return m[i][j];
         } else {
             for (int k = i; k < j; k++) {
-                int q = Lookup_Chain(m, p, i, k) + Lookup_Chain(m, p, k + 1, j) + (p[i - 1] * p[k] * p[j]);
+                int q = lookupChain(m, p, i, k) + lookupChain(m, p, k + 1, j) + (p[i - 1] * p[k] * p[j]);
                 if (q < m[i][j]) {
                     m[i][j] = q;
                 }
@@ -43,6 +43,6 @@ public final class MatrixChainRecursiveTopDownMemoisation {
     // respectively output should be  Minimum number of multiplications is 38
     public static void main(String[] args) {
         int[] arr = {1, 2, 3, 4, 5};
-        System.out.println("Minimum number of multiplications is " + Memoized_Matrix_Chain(arr));
+        System.out.println("Minimum number of multiplications is " + memoizedMatrixChain(arr));
     }
 }

src/main/java/com/thealgorithms/dynamicprogramming/WineProblem.java

@@ -16,22 +16,22 @@ public final class WineProblem {
 
     // Method 1: Using Recursion
     // Time Complexity=0(2^N) Space Complexity=Recursion extra space
-    public static int WPRecursion(int[] arr, int si, int ei) {
+    public static int wpRecursion(int[] arr, int si, int ei) {
         int n = arr.length;
         int year = (n - (ei - si + 1)) + 1;
         if (si == ei) {
             return arr[si] * year;
         }
 
-        int start = WPRecursion(arr, si + 1, ei) + arr[si] * year;
-        int end = WPRecursion(arr, si, ei - 1) + arr[ei] * year;
+        int start = wpRecursion(arr, si + 1, ei) + arr[si] * year;
+        int end = wpRecursion(arr, si, ei - 1) + arr[ei] * year;
 
         return Math.max(start, end);
     }
 
     // Method 2: Top-Down DP(Memoization)
     // Time Complexity=0(N*N) Space Complexity=0(N*N)+Recursion extra space
-    public static int WPTD(int[] arr, int si, int ei, int[][] strg) {
+    public static int wptd(int[] arr, int si, int ei, int[][] strg) {
         int n = arr.length;
         int year = (n - (ei - si + 1)) + 1;
         if (si == ei) {
@@ -41,8 +41,8 @@ public final class WineProblem {
         if (strg[si][ei] != 0) {
             return strg[si][ei];
         }
-        int start = WPTD(arr, si + 1, ei, strg) + arr[si] * year;
-        int end = WPTD(arr, si, ei - 1, strg) + arr[ei] * year;
+        int start = wptd(arr, si + 1, ei, strg) + arr[si] * year;
+        int end = wptd(arr, si, ei - 1, strg) + arr[ei] * year;
 
         int ans = Math.max(start, end);
 
@@ -53,7 +53,7 @@ public final class WineProblem {
 
     // Method 3: Bottom-Up DP(Tabulation)
     // Time Complexity=0(N*N/2)->0(N*N) Space Complexity=0(N*N)
-    public static int WPBU(int[] arr) {
+    public static int wpbu(int[] arr) {
         int n = arr.length;
         int[][] strg = new int[n][n];
 
@@ -76,9 +76,9 @@ public final class WineProblem {
 
     public static void main(String[] args) {
         int[] arr = {2, 3, 5, 1, 4};
-        System.out.println("Method 1: " + WPRecursion(arr, 0, arr.length - 1));
-        System.out.println("Method 2: " + WPTD(arr, 0, arr.length - 1, new int[arr.length][arr.length]));
-        System.out.println("Method 3: " + WPBU(arr));
+        System.out.println("Method 1: " + wpRecursion(arr, 0, arr.length - 1));
+        System.out.println("Method 2: " + wptd(arr, 0, arr.length - 1, new int[arr.length][arr.length]));
+        System.out.println("Method 3: " + wpbu(arr));
     }
 }
 // Memoization vs Tabulation : https://www.geeksforgeeks.org/tabulation-vs-memoization/