Given a string, s, determine the maximum number of unique s can be split. You can divide s into any sequence of nonempty substrings, ensuring their concatenation reconstructs the original string. However, each substring in the split must be distinct.
Constraints:
s.length
s contains only lowercase English letters.
The problem requires splitting a given string into the maximum number of unique substrings. This involves exploring different ways to segment the string while ensuring each segment is distinct. For this purpose, we can use the backtracking approach, where different partition possibilities are tried recursively. The key idea is to maintain a set of seen or visited substrings and try adding new unique substrings at each step, backtracking when necessary.
We start by calling a recursive function that explores all possible ways to split the string into unique parts. We extract a substring at each step and check if it has already been used. If not, we ...
Given a string, s, determine the maximum number of unique s can be split. You can divide s into any sequence of nonempty substrings, ensuring their concatenation reconstructs the original string. However, each substring in the split must be distinct.
Constraints:
s.length
s contains only lowercase English letters.
The problem requires splitting a given string into the maximum number of unique substrings. This involves exploring different ways to segment the string while ensuring each segment is distinct. For this purpose, we can use the backtracking approach, where different partition possibilities are tried recursively. The key idea is to maintain a set of seen or visited substrings and try adding new unique substrings at each step, backtracking when necessary.
We start by calling a recursive function that explores all possible ways to split the string into unique parts. We extract a substring at each step and check if it has already been used. If not, we ...