Solution: Word Break II
Explore how to apply dynamic programming to break a string into all possible valid sentences using a given dictionary. Understand the transition from a naive recursive solution to an optimized bottom-up tabulation approach. Learn to build and use a lookup table to combine valid word suffixes and prefixes, improving runtime efficiency and handling overlapping subproblems effectively.
Statement
You are given a string, s, and an array of strings, wordDict, representing a dictionary. Your task is to add spaces to s to break it up into a sequence of valid words from wordDict. We are required to return an array of all possible sequences of words (sentences). The order in which the sentences are listed is not significant.
Note: The same dictionary word may be reused multiple times in the segmentation.
Constraints:
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s.length -
wordDict.length -
wordDict[i].length -
sandwordDict[i]consist of only lowercase English letters. -
All the strings of
wordDictare unique.
Solution
So far, you’ve probably brainstormed some approaches and have an idea of how to solve this problem. Let’s explore some of these approaches and figure out which one to follow based on considerations such as time complexity and any implementation constraints.
Naive approach
The naive approach to solve this problem is to use a traditional recursive strategy in which we take each prefix of the input string, s, and compare it to each word in the dictionary. If it matches, we take the string’s suffix and repeat the process.
Here is how the algorithm works:
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Base case: If the string is empty, there are no characters in the string that are left to process, so there’ll be no sentences that can be formed. Hence, we return an empty array.
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Otherwise, the string will not be empty, so we’ll iterate every word ...