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LeetCode Daily: Sum of Prefix Scores of Strings Solution in Java | September 25, 2024

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🔍 LeetCode Problem of the Day: Sum of Prefix Scores of Strings
In today's LeetCode daily challenge, we solve the Sum of Prefix Scores of Strings problem by efficiently calculating the prefix scores for a list of words using a Trie data structure. The solution is implemented in Java.
👉 Solution: Pinned in the comments.
🌟 Problem Description:
Given a list of words, the task is to calculate the sum of prefix scores for each word. The prefix score of a word is the sum of the counts of all words that share the same prefix.
🔑 Key Points:
Trie Data Structure: Efficiently stores all the words by organizing them in a tree-like structure where each node represents a prefix.
Prefix Count Calculation: As we insert the words into the Trie, we track how many words pass through each prefix to later calculate the prefix scores.
Efficient Queries: Once the Trie is built, querying the prefix scores for each word becomes fast and efficient.
📝 Code Explanation:
Trie Insertion: Each word is inserted into the Trie, and the count for each prefix is updated as we traverse down the nodes.
Score Calculation: For each word, we traverse its prefixes in the Trie and sum the counts at each node to compute the prefix score.
Result: The final result is an array containing the prefix scores for each word in the input list.
📅 Daily Solutions: Subscribe for daily LeetCode solutions explained step-by-step in Java!
👥 Join the Community: Share your thoughts on the problem in the comments. Discuss different approaches with fellow coders. Like, share, and subscribe for more daily coding challenges!
#LeetCode #Coding #Programming #TechInterview #DailyChallenge #PrefixScores #Trie #Java
In today's LeetCode daily challenge, we solve the Sum of Prefix Scores of Strings problem by efficiently calculating the prefix scores for a list of words using a Trie data structure. The solution is implemented in Java.
👉 Solution: Pinned in the comments.
🌟 Problem Description:
Given a list of words, the task is to calculate the sum of prefix scores for each word. The prefix score of a word is the sum of the counts of all words that share the same prefix.
🔑 Key Points:
Trie Data Structure: Efficiently stores all the words by organizing them in a tree-like structure where each node represents a prefix.
Prefix Count Calculation: As we insert the words into the Trie, we track how many words pass through each prefix to later calculate the prefix scores.
Efficient Queries: Once the Trie is built, querying the prefix scores for each word becomes fast and efficient.
📝 Code Explanation:
Trie Insertion: Each word is inserted into the Trie, and the count for each prefix is updated as we traverse down the nodes.
Score Calculation: For each word, we traverse its prefixes in the Trie and sum the counts at each node to compute the prefix score.
Result: The final result is an array containing the prefix scores for each word in the input list.
📅 Daily Solutions: Subscribe for daily LeetCode solutions explained step-by-step in Java!
👥 Join the Community: Share your thoughts on the problem in the comments. Discuss different approaches with fellow coders. Like, share, and subscribe for more daily coding challenges!
#LeetCode #Coding #Programming #TechInterview #DailyChallenge #PrefixScores #Trie #Java
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