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Longest Palindrome by Concatenating Two Letter Words
Find the maximum-length palindrome by combining two-letter words using array scanning and hash table lookups efficiently.
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Practice Focus
Medium · Array scanning plus hash lookup
Answer-first summary
Find the maximum-length palindrome by combining two-letter words using array scanning and hash table lookups efficiently.
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Start by counting occurrences of each two-letter word. Pair each word with its reversed counterpart to build mirrored segments. Handle words with identical letters separately, placing at most one in the palindrome center, ensuring maximum length construction with precise hash lookups and careful array iteration.
Problem Statement
You are given an array of strings words, where each word consists of exactly two lowercase English letters. Your task is to select some words and concatenate them in any order to form the longest possible palindrome. Each word can be used at most once.
Return the length of the longest palindrome that can be created. If no palindrome can be formed, return 0. Consider that a valid palindrome must mirror around its center, and pairing reversed words or placing a word with identical letters centrally maximizes length.
Examples
Example 1
Input: words = ["lc","cl","gg"]
Output: 6
One longest palindrome is "lc" + "gg" + "cl" = "lcggcl", of length 6. Note that "clgglc" is another longest palindrome that can be created.
Example 2
Input: words = ["ab","ty","yt","lc","cl","ab"]
Output: 8
One longest palindrome is "ty" + "lc" + "cl" + "yt" = "tylcclyt", of length 8. Note that "lcyttycl" is another longest palindrome that can be created.
Example 3
Input: words = ["cc","ll","xx"]
Output: 2
One longest palindrome is "cc", of length 2. Note that "ll" is another longest palindrome that can be created, and so is "xx".
Constraints
- 1 <= words.length <= 105
- words[i].length == 2
- words[i] consists of lowercase English letters.
Solution Approach
Count Words Using a Hash Map
Iterate through words and store the frequency of each in a hash map. This allows O(1) lookup for reversed pairs. Identical-letter words require separate tracking for potential center placement.
Pair Reversed Words
For each word, check if its reverse exists in the hash map. Each valid pair contributes twice the word length to the palindrome. Decrement counts to avoid reuse, ensuring proper pairing to maximize mirrored segments.
Add Central Word if Available
After pairing, identify if any word with identical letters remains. Place at most one in the palindrome center to increase length by 2. This step ensures that the palindrome is as long as possible without breaking mirroring.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | Depends on the final approach |
| Space | Depends on the final approach |
Time complexity is O(n) due to single-pass word counting and pairing with hash lookups. Space complexity is O(n) for the hash map storing word frequencies, independent of palindrome construction.
What Interviewers Usually Probe
- Check if you can use a hash map to find reversed word pairs efficiently.
- Consider how identical-letter words might serve as the palindrome's center.
- Be prepared to discuss linear-time pairing versus brute-force concatenation.
Common Pitfalls or Variants
Common pitfalls
- Forgetting to decrement counts after pairing leads to overcounting words.
- Not handling identical-letter words for central placement reduces palindrome length.
- Assuming order of words matters; any order is valid for concatenation.
Follow-up variants
- Allow words of length three or more and analyze how center placement generalizes.
- Return the actual palindrome string instead of just its length.
- Count distinct palindrome arrangements instead of maximum length.
FAQ
What is the primary strategy to solve Longest Palindrome by Concatenating Two Letter Words?
Use array scanning with a hash map to count word frequencies, pair each word with its reverse, and place at most one identical-letter word in the center.
Can a word be used more than once in forming the palindrome?
No, each word can be selected at most once. Pairing and central placement must respect this constraint.
Why are words with identical letters treated differently?
They can serve as the center of the palindrome, allowing maximal length without requiring a mirrored pair.
What is the time complexity of this solution?
The solution runs in O(n) time, scanning all words once and using hash lookups for reversed pairs.
What failure modes should I watch for in this problem?
Common failures include overcounting paired words, ignoring central identical-letter words, and assuming word order affects the palindrome.
Solution
Solution 1: Greedy + Hash Table
First, we use a hash table $\textit{cnt}$ to count the occurrences of each word.
class Solution:
def longestPalindrome(self, words: List[str]) -> int:
cnt = Counter(words)
ans = x = 0
for k, v in cnt.items():
if k[0] == k[1]:
x += v & 1
ans += v // 2 * 2 * 2
else:
ans += min(v, cnt[k[::-1]]) * 2
ans += 2 if x else 0
return ansContinue Topic
array
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