Problem Description
Given a string s, encode it so that its encoded length is the shortest possible. The encoded format is k[encoded_string] where the encoded_string inside the brackets is repeated exactly k times. If encoding does not produce a shorter string, the original string should be returned. There can be multiple valid encodings.
Key Insights
- Use Dynamic Programming to consider every substring of s.
- For each substring, try partitioning it into two smaller substrings and combine their best encodings.
- Detect if a substring can be constructed by repeatedly concatenating a smaller substring and, if so, build an encoding in the format k[encoded_string].
- Only use the encoding if it is shorter than the original substring.
Space and Time Complexity
Time Complexity: O(n^3), where n is the length of the string. This is due to the triple nested loops for checking all substrings and splitting them. Space Complexity: O(n^2) for the DP table storing encoded results for each substring.
Solution
We use a bottom-up dynamic programming approach. Create a 2D array dp where dp[i][j] holds the shortest encoded string for substring s[i…j]. The base case is when the substring length is one (dp[i][i] = s[i]). For longer substrings, check every possible partition to see if concatenations of smaller encodings yield a shorter result. Also, try to see if the substring can be expressed as repeated patterns. To do so, for each substring s[i...j], consider if it can be divided into one or more repetitions of a pattern substring. If so, represent it in the k[pattern] format. The key challenge is to correctly check periodicity and to choose the optimal encoding that minimizes the length.