Minimum Length of Anagram Concatenation
MEDIUMDescription
You are given a string s, which is known to be a concatenation of anagrams of some string t.
Return the minimum possible length of the string t.
An anagram is formed by rearranging the letters of a string. For example, "aab", "aba", and, "baa" are anagrams of "aab".
Example 1:
Input: s = "abba"
Output: 2
Explanation:
One possible string t could be "ba".
Example 2:
Input: s = "cdef"
Output: 4
Explanation:
One possible string t could be "cdef", notice that t can be equal to s.
Example 2:
Input: s = "abcbcacabbaccba"
Output: 3
Constraints:
1 <= s.length <= 105sconsist only of lowercase English letters.
Approaches
Checkout 3 different approaches to solve Minimum Length of Anagram Concatenation. Click on different approaches to view the approach and algorithm in detail.
Approach 1: Checking Divisors with Sorting
A straightforward approach is to test every possible length k for the string t. Since s is a concatenation of anagrams of t, the length of t, k, must be a divisor of the length of s, n. We can iterate through all divisors of n from smallest to largest. For each potential length k, we verify if s can be partitioned into n/k segments, all of which are anagrams of the first segment s[0...k-1]. Anagram checking is done by sorting each segment and comparing it to the sorted version of the first segment.
Algorithm
- The fundamental observation is that if
sis a concatenation of anagrams of a stringtof lengthk, thenkmust be a divisor of the length ofs, let's call itn. - This approach iterates through all possible lengths
kthat are divisors ofn. - To check if two strings are anagrams, we can sort their characters. If the sorted strings are equal, they are anagrams.
- The algorithm is as follows:
- Find all divisors of
n = s.length(). - Sort the divisors in ascending order.
- For each divisor
k: a. Take the first substring of lengthk,s.substring(0, k). Sort its characters to create a canonical representation,canonical_t. b. Iterate through the rest of the string in chunks of sizek. c. For each chunk, sort its characters and compare it withcanonical_t. d. If any chunk's sorted version doesn't matchcanonical_t, thenkis not a valid length. We break and try the next larger divisor. e. If all chunks match, we have found the smallest possible length fort. We returnk.
- Find all divisors of
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
class Solution {
public int minAnagramLength(String s) {
int n = s.length();
List<Integer> divisors = findDivisors(n);
Collections.sort(divisors);
for (int k : divisors) {
if (isPossible(s, k)) {
return k;
}
}
return n; // Should not be reached given problem constraints
}
private List<Integer> findDivisors(int n) {
List<Integer> divisors = new ArrayList<>();
for (int i = 1; i * i <= n; i++) {
if (n % i == 0) {
divisors.add(i);
if (i * i != n) {
divisors.add(n / i);
}
}
}
return divisors;
}
private boolean isPossible(String s, int k) {
int n = s.length();
String firstSub = s.substring(0, k);
char[] firstChars = firstSub.toCharArray();
Arrays.sort(firstChars);
String sortedFirst = new String(firstChars);
for (int i = k; i < n; i += k) {
String currentSub = s.substring(i, i + k);
char[] currentChars = currentSub.toCharArray();
Arrays.sort(currentChars);
String sortedCurrent = new String(currentChars);
if (!sortedFirst.equals(sortedCurrent)) {
return false;
}
}
return true;
}
}
Complexity Analysis
Pros and Cons
- Conceptually simple and easy to follow.
- Correctly identifies the minimal length by checking divisors in increasing order.
- The process of creating substrings and sorting them repeatedly is computationally expensive.
- Time complexity is high, making it unsuitable for large inputs as it might lead to a 'Time Limit Exceeded' error.
Code Solutions
Checking out 3 solutions in different languages for Minimum Length of Anagram Concatenation. Click on different languages to view the code.
Video Solution
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