Problem Description
Given a string s and a dictionary of words, break s into one or more non-overlapping substrings such that each substring is present in the dictionary. Some characters in s may not be part of any dictionary word; these are considered extra. The goal is to minimize the number of extra characters left after optimally breaking the string.
Key Insights
- Use dynamic programming to compute the minimum extra characters for each starting position in the string.
- Store dp[i] as the minimum number of extra characters for the substring starting at index i.
- Preprocess the dictionary into a hash set for O(1) lookup of words.
- For each index i, initially consider s[i] as an extra character and then try to match every possible dictionary word starting at i.
- Update the dp state by considering valid dictionary matches which help to skip multiple extra characters.
Space and Time Complexity
Time Complexity: O(n^2 * k), where n is the length of s and k is the average length of words (for substring extraction and comparison).
Space Complexity: O(n) for the dp array and O(d) for the dictionary hash set, where d is the total number of dictionary words.
Solution
We solve the problem using dynamic programming. We define dp[i] as the minimum number of extra characters when considering the substring from index i to the end. Starting from the end, for each index i, we assume that the character s[i] is extra, thus setting dp[i] to 1 + dp[i+1]. Then, we iterate over subsequent indices j and check if the substring s[i:j+1] is in the dictionary. If it is, we update dp[i] to be the minimum of its current value and dp[j+1], since forming a valid word here means we do not count these characters as extra. The final answer is found at dp[0].