LeetCode-in-All · javadev · May 27, 2024 · May 27, 2024
diff --git a/src/main/cpp/g0001_0100/s0004_median_of_two_sorted_arrays/readme.md b/src/main/cpp/g0001_0100/s0004_median_of_two_sorted_arrays/readme.md
@@ -52,70 +52,49 @@ The overall run time complexity should be `O(log (m+n))`.
 *   `1 <= m + n <= 2000`
 *   -10⁶ <= nums1[i], nums2[i] <= 10⁶
 
-To solve the Median of Two Sorted Arrays problem in Java using a `Solution` class, we'll follow these steps:
-
-1. Define a `Solution` class with a method named `findMedianSortedArrays`.
-2. Calculate the total length of the combined array (m + n).
-3. Determine the middle index or indices of the combined array based on its length (for both even and odd lengths).
-4. Implement a binary search algorithm to find the correct position for partitioning the two arrays such that elements to the left are less than or equal to elements on the right.
-5. Calculate the median based on the partitioned arrays.
-6. Handle edge cases where one or both arrays are empty or where the combined length is odd or even.
-7. Return the calculated median.
-
-Here's the implementation:
-
-```java
-public class Solution {
-
-    public double findMedianSortedArrays(int[] nums1, int[] nums2) {
-        int m = nums1.length;
-        int n = nums2.length;
-        int totalLength = m + n;
-        int left = (totalLength + 1) / 2;
-        int right = (totalLength + 2) / 2;
-        return (findKth(nums1, 0, nums2, 0, left) + findKth(nums1, 0, nums2, 0, right)) / 2.0;
-    }
-
-    private int findKth(int[] nums1, int i, int[] nums2, int j, int k) {
-        if (i >= nums1.length) return nums2[j + k - 1];
-        if (j >= nums2.length) return nums1[i + k - 1];
-        if (k == 1) return Math.min(nums1[i], nums2[j]);
-
-        int midVal1 = (i + k / 2 - 1 < nums1.length) ? nums1[i + k / 2 - 1] : Integer.MAX_VALUE;
-        int midVal2 = (j + k / 2 - 1 < nums2.length) ? nums2[j + k / 2 - 1] : Integer.MAX_VALUE;
-
-        if (midVal1 < midVal2) {
-            return findKth(nums1, i + k / 2, nums2, j, k - k / 2);
-        } else {
-            return findKth(nums1, i, nums2, j + k / 2, k - k / 2);
-        }
-    }
 
-    public static void main(String[] args) {
-        Solution solution = new Solution();
 
-        // Test cases
-        int[] nums1_1 = {1, 3};
-        int[] nums2_1 = {2};
-        System.out.println("Example 1 Output: " + solution.findMedianSortedArrays(nums1_1, nums2_1));
+## Solution
 
-        int[] nums1_2 = {1, 2};
-        int[] nums2_2 = {3, 4};
-        System.out.println("Example 2 Output: " + solution.findMedianSortedArrays(nums1_2, nums2_2));
+```cpp
+#include 
+#include 
+#include 
 
-        int[] nums1_3 = {0, 0};
-        int[] nums2_3 = {0, 0};
-        System.out.println("Example 3 Output: " + solution.findMedianSortedArrays(nums1_3, nums2_3));
-
-        int[] nums1_4 = {};
-        int[] nums2_4 = {1};
-        System.out.println("Example 4 Output: " + solution.findMedianSortedArrays(nums1_4, nums2_4));
-
-        int[] nums1_5 = {2};
-        int[] nums2_5 = {};
-        System.out.println("Example 5 Output: " + solution.findMedianSortedArrays(nums1_5, nums2_5));
+class Solution {
+public:
+    double findMedianSortedArrays(std::vector& nums1, std::vector& nums2) {
+        if (nums2.size() < nums1.size()) {
+            return findMedianSortedArrays(nums2, nums1);
+        }
+
+        int n1 = nums1.size();
+        int n2 = nums2.size();
+        int low = 0;
+        int high = n1;
+
+        while (low <= high) {
+            int cut1 = (low + high) / 2;
+            int cut2 = (n1 + n2 + 1) / 2 - cut1;
+
+            int l1 = (cut1 == 0) ? INT_MIN : nums1[cut1 - 1];
+            int l2 = (cut2 == 0) ? INT_MIN : nums2[cut2 - 1];
+            int r1 = (cut1 == n1) ? INT_MAX : nums1[cut1];
+            int r2 = (cut2 == n2) ? INT_MAX : nums2[cut2];
+
+            if (l1 <= r2 && l2 <= r1) {
+                if ((n1 + n2) % 2 == 0) {
+                    return (std::max(l1, l2) + std::min(r1, r2)) / 2.0;
+                }
+                return std::max(l1, l2);
+            } else if (l1 > r2) {
+                high = cut1 - 1;
+            } else {
+                low = cut1 + 1;
+            }
+        }
+
+        return 0.0;
     }
-}
-```
-
-This implementation provides a solution to the Median of Two Sorted Arrays problem in Java with a runtime complexity of O(log(min(m, n))).
+};
+```
diff --git a/src/main/cpp/g0001_0100/s0005_longest_palindromic_substring/readme.md b/src/main/cpp/g0001_0100/s0005_longest_palindromic_substring/readme.md
@@ -36,65 +36,51 @@ Given a string `s`, return _the longest palindromic substring_ in `s`.
 *   `1 <= s.length <= 1000`
 *   `s` consist of only digits and English letters.
 
-To solve the Longest Palindromic Substring problem in Java using a `Solution` class, we'll follow these steps:
-
-1. Define a `Solution` class with a method named `longestPalindrome`.
-2. Initialize variables to keep track of the start and end indices of the longest palindromic substring found so far (`start` and `end`).
-3. Iterate through the string `s`:
-   - For each character in the string, expand around it to check if it forms a palindrome.
-   - Handle both odd-length and even-length palindromes separately.
-   - Update `start` and `end` indices if a longer palindrome is found.
-4. Return the substring from `start` to `end`.
-5. Handle edge cases where the input string is empty or has a length of 1.
-
-Here's the implementation:
-
-```java
-public class Solution {
-
-    public String longestPalindrome(String s) {
-        if (s == null || s.length() < 1) return "";
-        int start = 0;
-        int end = 0;
-
-        for (int i = 0; i < s.length(); i++) {
-            int len1 = expandAroundCenter(s, i, i);
-            int len2 = expandAroundCenter(s, i, i + 1);
-            int len = Math.max(len1, len2);
-            if (len > end - start) {
-                start = i - (len - 1) / 2;
-                end = i + len / 2;
-            }
-        }
-
-        return s.substring(start, end + 1);
-    }
-
-    private int expandAroundCenter(String s, int left, int right) {
-        while (left >= 0 && right < s.length() && s.charAt(left) == s.charAt(right)) {
-            left--;
-            right++;
-        }
-        return right - left - 1;
-    }
 
-    public static void main(String[] args) {
-        Solution solution = new Solution();
 
-        // Test cases
-        String s1 = "babad";
-        System.out.println("Example 1 Output: " + solution.longestPalindrome(s1));
+## Solution
 
-        String s2 = "cbbd";
-        System.out.println("Example 2 Output: " + solution.longestPalindrome(s2));
+```cpp
+#include 
+#include 
+#include 
 
-        String s3 = "a";
-        System.out.println("Example 3 Output: " + solution.longestPalindrome(s3));
+class Solution {
+public:
+    std::string longestPalindrome(const std::string& s) {
+        // Transform s into newStr with delimiters
+        std::string newStr(s.length() * 2 + 1, '#');
+        for (int i = 0; i < s.length(); ++i) {
+            newStr[2 * i + 1] = s[i];
+        }
 
-        String s4 = "ac";
-        System.out.println("Example 4 Output: " + solution.longestPalindrome(s4));
-    }
-}
-```
+        std::vector dp(newStr.length(), 0);
+        int friendCenter = 0, friendRadius = 0;
+        int lpsCenter = 0, lpsRadius = 0;
+
+        for (int i = 0; i < newStr.length(); ++i) {
+            dp[i] = (friendCenter + friendRadius > i)
+                    ? std::min(dp[2 * friendCenter - i], friendCenter + friendRadius - i)
+                    : 1;
+
+            while (i + dp[i] < newStr.length() && i - dp[i] >= 0 && newStr[i + dp[i]] == newStr[i - dp[i]]) {
+                dp[i]++;
+            }
+
+            if (friendCenter + friendRadius < i + dp[i]) {
+                friendCenter = i;
+                friendRadius = dp[i];
+            }
+
+            if (lpsRadius < dp[i]) {
+                lpsCenter = i;
+                lpsRadius = dp[i];
+            }
+        }
 
-This implementation provides a solution to the Longest Palindromic Substring problem in Java.
+        int start = (lpsCenter - lpsRadius + 1) / 2;
+        int length = lpsRadius - 1;
+        return s.substr(start, length);
+    }
+};
+```
diff --git a/src/main/cpp/g0001_0100/s0006_zigzag_conversion/readme.md b/src/main/cpp/g0001_0100/s0006_zigzag_conversion/readme.md
@@ -41,70 +41,44 @@ string convert(string s, int numRows);
 *   `s` consists of English letters (lower-case and upper-case), `','` and `'.'`.
 *   `1 <= numRows <= 1000`
 
-To solve the Zigzag Conversion problem in Java using a `Solution` class, we'll follow these steps:
-
-1. Define a `Solution` class with a method named `convert`.
-2. Create an array of strings to represent each row of the zigzag pattern.
-3. Initialize variables to keep track of the current row (`row`) and the direction of traversal (`down`).
-4. Iterate through each character in the input string `s`.
-   - Append the current character to the string representing the current row.
-   - If we reach the first or last row, change the direction of traversal accordingly.
-   - Update the current row based on the direction of traversal.
-5. Concatenate the strings representing each row to form the final zigzag conversion.
-6. Return the concatenated string.
-7. Handle edge cases where the number of rows is 1 or the input string is empty.
-
-Here's the implementation:
-
-```java
-public class Solution {
-
-    public String convert(String s, int numRows) {
-        if (numRows == 1 || s.length() <= numRows) {
-            return s;
-        }
 
-        StringBuilder[] rows = new StringBuilder[numRows];
-        for (int i = 0; i < numRows; i++) {
-            rows[i] = new StringBuilder();
-        }
 
-        int row = 0;
-        boolean down = false;
+## Solution
 
-        for (char c : s.toCharArray()) {
-            rows[row].append(c);
-            if (row == 0 || row == numRows - 1) {
-                down = !down;
-            }
-            row += down ? 1 : -1;
-        }
+```cpp
+#include 
+#include 
 
-        StringBuilder result = new StringBuilder();
-        for (StringBuilder sb : rows) {
-            result.append(sb);
+class Solution {
+public:
+    std::string convert(std::string s, int numRows) {
+        int sLen = s.length();
+        if (numRows == 1) {
+            return s;
         }
-
-        return result.toString();
-    }
-
-    public static void main(String[] args) {
-        Solution solution = new Solution();
-
-        // Test cases
-        String s1 = "PAYPALISHIRING";
-        int numRows1 = 3;
-        System.out.println("Example 1 Output: " + solution.convert(s1, numRows1));
-
-        String s2 = "PAYPALISHIRING";
-        int numRows2 = 4;
-        System.out.println("Example 2 Output: " + solution.convert(s2, numRows2));
-
-        String s3 = "A";
-        int numRows3 = 1;
-        System.out.println("Example 3 Output: " + solution.convert(s3, numRows3));
+        int maxDist = numRows * 2 - 2;
+        std::string buf;
+        buf.reserve(sLen);
+        for (int i = 0; i < numRows; i++) {
+            int index = i;
+            if (i == 0 || i == numRows - 1) {
+                while (index < sLen) {
+                    buf += s[index];
+                    index += maxDist;
+                }
+            } else {
+                while (index < sLen) {
+                    buf += s[index];
+                    index += maxDist - i * 2;
+                    if (index >= sLen) {
+                        break;
+                    }
+                    buf += s[index];
+                    index += i * 2;
+                }
+            }
+        }
+        return buf;
     }
-}
-```
-
-This implementation provides a solution to the Zigzag Conversion problem in Java.
+};
+```