Ransom Note in Java with O(n + m) Time Complexity

Given two strings ransomNote and magazine, return true if ransomNote can be constructed from magazine and false otherwise.

Each letter in magazine can only be used once in ransomNote.

Example 1:

Input:  ransomNote = "aa", magazine = "abb"
Output:  false

Example 2:

Input:  ransomNote = "aa", magazine = "aab"
Output:  true

Note:

Your algorithm should run in O(n + m) time and use O(Σ) extra space.

Understanding the Problem

The core challenge of this problem is to determine if the characters in the ransomNote can be found in the magazine string, considering that each character in the magazine can only be used once. This problem is significant in scenarios where resource allocation and availability need to be checked, such as in inventory management or text processing.

Approach

To solve this problem, we need to count the frequency of each character in both the ransomNote and the magazine. We can use a HashMap to store these frequencies. The steps are as follows:

Initialize two HashMaps to store the frequency of characters in ransomNote and magazine.
Populate these HashMaps by iterating through each string.
Compare the frequency of each character in ransomNote with that in magazine.
If any character in ransomNote has a higher frequency than in magazine, return false.
If all characters meet the required frequency, return true.

Algorithm

Here is a step-by-step breakdown of the algorithm:

Create two HashMaps: ransomFreq and magazineFreq.
Iterate through ransomNote and populate ransomFreq.
Iterate through magazine and populate magazineFreq.
For each character in ransomNote, check if its frequency in ransomFreq is greater than in magazineFreq.
If any character fails the check, return false. Otherwise, return true.

Code Implementation

import java.util.HashMap;

public class RansomNote {
    public boolean canConstruct(String ransomNote, String magazine) {
        // Create frequency maps for ransomNote and magazine
        HashMap<Character, Integer> ransomFreq = new HashMap<>();
        HashMap<Character, Integer> magazineFreq = new HashMap<>();

        // Populate ransomFreq map
        for (char c : ransomNote.toCharArray()) {
            ransomFreq.put(c, ransomFreq.getOrDefault(c, 0) + 1);
        }

        // Populate magazineFreq map
        for (char c : magazine.toCharArray()) {
            magazineFreq.put(c, magazineFreq.getOrDefault(c, 0) + 1);
        }

        // Check if ransomNote can be constructed from magazine
        for (char c : ransomNote.toCharArray()) {
            if (ransomFreq.get(c) > magazineFreq.getOrDefault(c, 0)) {
                return false;
            }
        }

        return true;
    }

    public static void main(String[] args) {
        RansomNote rn = new RansomNote();
        System.out.println(rn.canConstruct("aa", "abb")); // Output: false
        System.out.println(rn.canConstruct("aa", "aab")); // Output: true
    }
}

Complexity Analysis

The time complexity of this solution is O(n + m), where n is the length of ransomNote and m is the length of magazine. This is because we iterate through both strings once to populate the frequency maps and then iterate through ransomNote again to check the frequencies.

The space complexity is O(Σ), where Σ is the number of unique characters in the alphabet (in this case, 26 for lowercase English letters). This is because we store the frequency of each character in the HashMaps.

Edge Cases

Consider the following edge cases:

Empty ransomNote: Should return true as no characters are needed.
Empty magazine: Should return false if ransomNote is not empty.
Characters in ransomNote not present in magazine: Should return false.

Testing

To test the solution comprehensively, consider the following test cases:

System.out.println(rn.canConstruct("", "")); // true
System.out.println(rn.canConstruct("a", "")); // false
System.out.println(rn.canConstruct("", "a")); // true
System.out.println(rn.canConstruct("a", "b")); // false
System.out.println(rn.canConstruct("aa", "aab")); // true
System.out.println(rn.canConstruct("aa", "ab")); // false

Thinking and Problem-Solving Tips

When approaching such problems, consider the following tips:

Break down the problem into smaller, manageable parts.
Use appropriate data structures to store and manipulate data efficiently.
Think about edge cases and how your solution handles them.
Practice similar problems to improve your problem-solving skills.

Conclusion

In this blog post, we discussed how to solve the "Ransom Note" problem using Java. We covered the problem definition, approach, algorithm, code implementation, complexity analysis, edge cases, and testing. Understanding and solving such problems is crucial for developing strong problem-solving skills and improving coding proficiency.

Additional Resources

For further reading and practice, consider the following resources: