When you first read the problem “Find the Lexicographically Largest String From the Box”, it might sound complicated 🤔. However, with the right insight, the solution becomes both elegant and efficient. ✨
In this article, we’ll walk through the problem, break down the core concept, and implement the optimal solution in C++, JavaScript, and Python. 💻
📝 Problem Recap
You are given:
- A string
word
🧵 - An integer
numFriends
👥
The game rules:
- Split
word
into exactlynumFriends
non-empty substrings. - Every possible way to split
word
counts as a “round.” 🎲 - For each round, put all split substrings into a box 📦.
- After considering all possible rounds, find the lexicographically largest substring in the box. 🔠
💡 Key Insight
At first glance, it looks like we need to consider all ways to split the string, which could be exponential in complexity ⚡.
But here’s the trick:
- If you split a string of length
n
intonumFriends
parts, the longest substring in any split must have length at leastn - numFriends + 1
. 📏
Why?
- Because at minimum, the other
numFriends - 1
substrings each have length 1. 🧩 - So the longest substring length is constrained and can be calculated. ✔️
Therefore, the lexicographically largest substring that appears in any valid split must be a substring of word
of length exactly n - numFriends + 1
. 🔍
🔧 How to Solve It?
- Find the lexicographically largest substring of length
n - numFriends + 1
. - Return that substring. 🎯
This approach avoids any heavy recursion or DP 🛠️.
💻 Implementations
C++
class Solution {
public:
string answerString(string word, int numFriends) {
if (numFriends == 1) return word;
string res = "";
int length = word.length() - numFriends + 1;
for (int i = 0; i <= (int)word.size() - length; i++) {
string temp = word.substr(i, length);
if (temp > res) {
res = temp;
}
}
return res;
}
};
JavaScript
function answerString(word, numFriends) {
if (numFriends === 1) return word;
let length = word.length - numFriends + 1;
let res = "";
for (let i = 0; i <= word.length - length; i++) {
let temp = word.substring(i, i + length);
if (temp > res) {
res = temp;
}
}
return res;
}
Python
class Solution:
def answerString(self, word: str, numFriends: int) -> str:
if numFriends == 1:
return word
length = len(word) - numFriends + 1
res = ""
for i in range(len(word) - length + 1):
temp = word[i:i+length]
if temp > res:
res = temp
return res
🎯 Conclusion
This problem beautifully demonstrates how understanding problem constraints and properties can simplify seemingly complex problems. 🌟
Instead of brute forcing every split, we reduce the problem to a straightforward substring search, making our solution both simple and efficient. 🧠💡
Feel free to try these implementations, and let me know if you have any questions or want to explore advanced optimizations! 🙌
Happy coding! 👩💻👨💻🚀
Love how you broke down the trick with the longest substring - it makes it all click. Did you run into any weird edge cases while testing different word lengths?