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Clean Leetcode solutions in Java

Leetcode in Java

Clean Leetcode solutions in Java

What are included?

# Description Solution Performance
1 Two Sum TwoSum.java Beat 98.8%
2 Add Two Numbers AddTwoNumbers.java Beat 100%
3 Longest Substring Without repeating Characters LongestSubstrNoRepeatChars.java Beat 99.86%
4 Median of Two Sorted Arrays MedianTwoSortedArrays.java Beat 100.00%
5 Longest Palindromic Substring LongestPalindromicSubstring.java Beat 86.88%
6 ZigZag Conversion ZigZagConversion.java Beat 95.76%
7 Reverse Integer ReverseInteger.java Beat 100%
8 String to Integer StringToInteger.java Beat 100%
9 Palindrome Number PalindromeNumber.java Beat 100%
10 Regular Expression Matching RegularExpressionMatching.java Beat 93.19%
11 Container With Most Water ContainerWithMostWater.java Beat 95.44%
12 Integer to Roman IntegerToRoman.java Beat 81.64
13 Roman to Integer RomanToInteger.java Beat 75.68
14 Longest Common Prefix LongestCommonPrefix.java Beat 100.00%
15 3 Sum ThreeSum.java Beat 92.57%
16 3 Sum Closest ThreeSumClosest.java Beat 86.03%
17 Letter Combinations of a Phone Number TelephoneKeypad.java Beat 72.3%
18 4 Sum FourSum.java Beat 83.12%
19 Remove Nth Node From End of List RemoveNodeEndOfList.java Beat 100.00%
20 Valid Parentheses ValidParentheses.java Beat 98.71%
21 Merge Two Sorted Lists MergeTwoSortedLists.java Beat 100%
22 Generate Parentheses GenerateParentheses.java Beat 87.83%
23 Merge k Sorted Lists MergeKSortedLists.java Beat 81.78%
24 Swap Nodes in Pairs SwapNodesInPairs.java Beat 100%
914 X of a Kind in a Deck of Cards GroupsOfCards.java Beat 74.39%

FAQs

I saw some of the solutions are not beating 100% of submissions, should I still use them as reference for interview preparation?

Yes. Some of them don't have perfect runtime due to the following reasons:

  1. Leetcode online judge test runner is unstable. It sometimes slows down the solutions' runtime by milliseconds, which has big impacts on their performance percentile.

  2. Some of the Leetcode submissions are over optimized for online judge system, such as putting all business logic in a giant function, using math tricks, or hardcode all test cases. The giant function approach sacrifices code cleanness, which is one of the important grading metrics for coding interviews. The math tricks cannot assess how good you are at coding, which is another grading metric of coding interview.

License

This project is maintained under MIT license.