Problem Description
Given a string s, return the number of distinct substrings of s. A substring is defined as any continuous sequence of characters obtained by deleting any number (possibly zero) of characters from the front and back of s.
Key Insights
- All possible substrings can be generated by considering each possible start and end index.
- Utilizing a set (or hash set) ensures that duplicates are automatically filtered.
- Even though generating all substrings has a nested loop, the maximum length of s (500) keeps the solution efficient for the problem constraints.
- Advanced methods (like suffix trees, suffix arrays, or rolling hash) can optimize the process closer to O(n) time but are more complex to implement.
Space and Time Complexity
Time Complexity: O(n^2) in the context of iterating over all substring intervals (n is the length of s).
Space Complexity: O(n^2) in the worst case for storing all distinct substrings.
Solution
The solution involves iterating through every possible substring of s by using two nested loops: one for the start index and another for the end index. Each generated substring is added to a set which handles duplicate removals automatically. After the loops, the size of the set gives the number of distinct substrings.
Key Data Structures and Techniques:
- Set/Hash Set: to store distinct substrings.
- Nested Loop: to generate all possible substrings.
- (Optional) Advanced techniques like rolling hash and suffix arrays can optimize the solution, but the simple approach is sufficient given the constraints.