Last updated on October 5th, 2024 at 09:26 pm

Here, We see Maximum Product of Word Lengths LeetCode Solution. This Leetcode problem is done in many programming languages like C++, Java, JavaScript, Python, etc. with different approaches.

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Maximum Product of Word Lengths LeetCode Solution

Problem Statement

Given a string array words, return the maximum value of  length(word[i]) * length(word[j]) where the two words do not share common letters. If no such two words exist, return 0.

Example 1:
Input: words = [“abcw”,”baz”,”foo”,”bar”,”xtfn”,”abcdef”]
Output: 16
Explanation: The two words can be “abcw”, “xtfn”.

Example 2:
Input: words = [“a”,”ab”,”abc”,”d”,”cd”,”bcd”,”abcd”]
Output: 4
Explanation: The two words can be “ab”, “cd”.

Example 3:
Input: words = [“a”,”aa”,”aaa”,”aaaa”]
Output: 0
Explanation: No such pair of words.

1. Maximum Product of Word Lengths Leetcode Solution C++

class Solution {
public:
    int maxProduct(vector<string>& words) {
        vector<int> mask(words.size());
        int result = 0;
        for (int i=0; i<words.size(); ++i) {
            for (char c : words[i])
                mask[i] |= 1 << (c - 'a');
            for (int j=0; j<i; ++j)
                if (!(mask[i] & mask[j]))
                    result = max(result, int(words[i].size() * words[j].size()));
        }
        return result;
    }
};

2. Maximum Product of Word Lengths Leetcode Solution Java

class Solution {
    public int maxProduct(String[] words) {
        int max = 0;
        Arrays.sort(words, new Comparator<String>(){
            public int compare(String a, String b){
                return b.length() - a.length();
            }
        });
        int[] masks = new int[words.length];
        for(int i = 0; i < masks.length; i++){
            for(char c: words[i].toCharArray()){
                masks[i] |= 1 << (c - 'a');
            }
        }
        for(int i = 0; i < masks.length; i++){
            if(words[i].length() * words[i].length() <= max) break;
            for(int j = i + 1; j < masks.length; j++){
                if((masks[i] & masks[j]) == 0){
                    max = Math.max(max, words[i].length() * words[j].length());
                    break;
                }
            }
        }
        return max;
    }
}

3. Maximum Product of Word Lengths Solution JavaScript

var maxProduct = function(words) {
    words.sort((a,b) => b.length - a.length)
    let best = 0, bitsets = new Uint32Array(words.length)
    for (let i = 0; i < words.length; i++) {
        let word = words[i], wlen = word.length, bitset = 0
        if (wlen * words[0].length < best)
            return best
        for (let j = 0; j < wlen; j++)
            bitset |= 1 << (word.charCodeAt(j) - 97)
        for (let j = 0; j < i; j++)
            if ((bitsets[j] & bitset) === 0)
                best = Math.max(best, wlen * words[j].length)
        bitsets[i] = bitset
    }
    return best
};

4. Maximum Product of Word Lengths Solution Python

class Solution(object):
    def maxProduct(self, words):
        words.sort(key=len, reverse=True)
        best, bitsets = 0, {}
        for i in range(len(words)):
            wlen, bitset = len(words[i]), 0
            if wlen * len(words[0]) < best:
                return best
            for c in words[i]:
                bitset |= 1 << ord(c) - 97
            if bitset not in bitsets:
                for k,v in bitsets.items():
                    if not bitset & k:
                        best = max(best, wlen * v)
                bitsets[bitset] = wlen
        return best