LeetCode Problem Workspace
Change Minimum Characters to Satisfy One of Three Conditions
This problem asks for the minimum operations to change two strings so that one of three conditions is met.
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Practice Focus
Medium · Hash Table plus String
Answer-first summary
This problem asks for the minimum operations to change two strings so that one of three conditions is met.
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The problem requires you to find the fewest operations to satisfy one of three conditions between two strings. Using a hash table, you iterate over the alphabet to determine the least number of changes needed. The optimal solution involves minimizing the operations to either make one string entirely smaller, larger, or equal to the other.
Problem Statement
You are given two strings, a and b, consisting of lowercase letters. You can change any character in a or b to any lowercase letter in one operation.
Your task is to determine the minimum number of operations required to make one of the following conditions true: (1) all characters in a are less than all characters in b, (2) all characters in b are less than all characters in a, or (3) all characters in both strings are the same.
Examples
Example 1
Input: a = "aba", b = "caa"
Output: 2
Consider the best way to make each condition true:
- Change b to "ccc" in 2 operations, then every letter in a is less than every letter in b.
- Change a to "bbb" and b to "aaa" in 3 operations, then every letter in b is less than every letter in a.
- Change a to "aaa" and b to "aaa" in 2 operations, then a and b consist of one distinct letter. The best way was done in 2 operations (either condition 1 or condition 3).
Example 2
Input: a = "dabadd", b = "cda"
Output: 3
The best way is to make condition 1 true by changing b to "eee".
Constraints
- 1 <= a.length, b.length <= 105
- a and b consist only of lowercase letters.
Solution Approach
Iterate over each letter of the alphabet
For each letter in the alphabet, compute how many operations it would take to make both strings satisfy one of the three conditions. This can be done by transforming characters to a common letter and counting the changes needed.
Use a hash table for frequency counting
Use a hash table to track the frequency of each letter in both strings. This will help efficiently calculate the operations needed to achieve each condition by counting how many letters need to be changed.
Determine the optimal condition
For each possible condition, calculate the number of operations required to meet it, and return the minimum value. The goal is to minimize the number of operations while ensuring that one of the three conditions is satisfied.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | Depends on the final approach |
| Space | Depends on the final approach |
The time and space complexity depend on the approach used for counting and iterating over the alphabet. If iterating through all possible letters, the complexity is proportional to the length of the strings and the size of the alphabet, which is constant at 26 characters. In total, the time complexity is O(n + 26), where n is the length of the longest string. Space complexity is O(26) due to the frequency table.
What Interviewers Usually Probe
- Look for candidates who can efficiently use hash tables for counting operations.
- Evaluate how well the candidate handles the three conditions with a minimal number of iterations.
- Check if the candidate can optimize the solution by focusing on constant-time operations for each condition.
Common Pitfalls or Variants
Common pitfalls
- Failing to use hash tables efficiently can result in unnecessary recalculations.
- Incorrectly handling edge cases such as when strings are already equal or when one string is empty.
- Not minimizing the operations correctly and selecting suboptimal conditions.
Follow-up variants
- Modify the problem by limiting the alphabet to only vowels or consonants.
- Allow a different character set (e.g., uppercase or digits) and test the solution’s scalability.
- Add constraints that require the solution to handle much larger input sizes while maintaining optimal performance.
FAQ
What are the key strategies for solving 'Change Minimum Characters to Satisfy One of Three Conditions'?
Focus on using hash tables to track letter frequencies and iterating over the alphabet to find the optimal solution.
How do hash tables help in solving this problem?
Hash tables allow you to efficiently count the occurrences of each letter in the strings, which helps minimize operations needed to satisfy the conditions.
What is the best approach to minimize operations?
Iterate over the alphabet, calculate the number of changes for each condition, and select the one with the fewest operations.
Can you explain the three conditions in this problem?
The three conditions are: (1) all characters in a must be less than those in b, (2) all characters in b must be less than those in a, or (3) both strings must consist of the same characters.
What are some common mistakes in solving this problem?
Common mistakes include inefficiently using hash tables, failing to handle edge cases, and not optimizing the number of operations correctly.
Solution
Solution 1: Counting + Enumeration
First, we count the number of occurrences of each letter in strings $a$ and $b$, denoted as $cnt_1$ and $cnt_2$.
class Solution:
def minCharacters(self, a: str, b: str) -> int:
def f(cnt1, cnt2):
for i in range(1, 26):
t = sum(cnt1[i:]) + sum(cnt2[:i])
nonlocal ans
ans = min(ans, t)
m, n = len(a), len(b)
cnt1 = [0] * 26
cnt2 = [0] * 26
for c in a:
cnt1[ord(c) - ord('a')] += 1
for c in b:
cnt2[ord(c) - ord('a')] += 1
ans = m + n
for c1, c2 in zip(cnt1, cnt2):
ans = min(ans, m + n - c1 - c2)
f(cnt1, cnt2)
f(cnt2, cnt1)
return ansContinue Topic
hash table
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