Core Concepts
The core message of this article is to present an efficient algorithm to generate all strings of a given length that are in normal form, where normal form means the string is lexicographically smallest among all isomorphic strings.
Abstract
Problem Restatement:
The problem asks to generate all strings of length N that are in normal form, where a string is in normal form if it is lexicographically smallest among all strings isomorphic to it. Two strings are isomorphic if they have the same length and either the characters at each position are the same, or they are all different.
Step-by-Step Solution Explanation:
The solution uses a depth-first search (DFS) approach to generate all possible strings of length N. The DFS function dfs(i, mx, n, res, cur) recursively builds up the string, where:
i is the current index being filled
mx is the maximum character value used so far
n is the target length of the string
res is the list to store the final normal form strings
cur is the current string being built
At each step, the function tries to append a character from a to mx+1 to the current string cur. If the current index i reaches the target length n, the complete string is added to the res list.
The key insight is that to ensure the generated string is in normal form, the function only needs to try appending characters from 0 to mx, where mx is the maximum character value used so far. This is because any character value greater than mx would result in a string that is not lexicographically smallest.
Solution Description:
The solution generates all strings of length N that are in normal form by performing a depth-first search. It builds up the strings character by character, ensuring that the current string is always lexicographically smallest among all isomorphic strings by only trying to append characters up to the maximum character value used so far.
Conceptual Evolution:
To arrive at this solution, one can first observe that the problem is about generating all strings of a given length that satisfy a certain condition (being in normal form). This suggests a generation-based approach, where we can systematically try all possible strings and filter out the ones that are not in normal form.
The key insight is that to ensure the generated string is in normal form, we only need to try appending characters up to the maximum character value used so far. This is because any character value greater than the current maximum would result in a string that is not lexicographically smallest. This observation leads to the DFS-based solution, where we recursively build up the strings, keeping track of the maximum character value used so far.