
Given an integer n, the problem asks to determine the number of strings of length n that can be constructed using the vowels: 'a', 'e', 'i', 'o', 'u'. Each vowel has specific rules concerning which vowels can follow it in the string:
These rules significantly influence the string construction, making it a constrained combinatorial problem. Given the potential size of the output, it must be returned modulo (10^9 + 7) to prevent overflow issues.
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1 <= n <= 2 * 10^4To solve the problem of counting the number of valid strings of length n under the given constraints, we need to think in terms of dynamic programming or combinatorial counting with transition rules based on the established sequence-building restrictions:
Initialization: Consider the base scenario when n is 1. Here, each of the vowels 'a', 'e', 'i', 'o', 'u' are valid strings in themselves. Therefore, there are 5 possible strings when n equals 1.
Recursive Relation Development: For lengths greater than one, determine the number of ways to form sequences of length n based on sequences of length n-1. Develop a relationship based on permitted transitions:
n ends in 'a', the string of length n-1 could have ended in 'e' or 'u' based on the rules specified.Dynamic Programming Table Construction: Use dp (a dynamic programming table) where dp[i][v] represents the number of valid strings of length i that end with vowel v. Intuitively fill this table based on n and using transitions defined:
Result Calculation: Finally, for the desired length n, the result would be the sum of all strings ending in any vowel calculated from the dp table, i.e., sum of all dp[n][vowel]. Return this result modulo (10^9 + 7).
This approach ensures that each position in the string is built upon the valid preceding configurations, satisfying the transition constraints optimally.
The Java solution presented is designed to solve the problem of counting the number of valid vowel permutations of a given length, adhering to specific rules on how vowels can follow each other. The solution utilizes dynamic programming to efficiently count permutation possibilities.
dp to store the results of subproblems. This array helps in avoiding the recomputation of the same problems.MODULO to ensure the result remains within the bounds of typical integer ranges, specifically set to 1000000007 for handling large numbers.countVowelPermutation method which initializes the total count and iterates over each vowel, leveraging the calculatePermutations method to compute the number of permutations starting with each vowel.calculatePermutations method:len, vowelIndex) has previously been computed and stored in dp; if so, return the stored result.len == 0, which signifies the starting point of counting, set the corresponding dp value to 1.calculatePermutations for valid vowel sequences according to predefined rules (e.g., after 'a' can only come 'e', 'i', or 'u').This approach ensures an optimal solution by reducing the time complexity via memoization, which stores intermediate results in the dp table and reuses them. The recursive method combined with dynamic programming effectively tackles the exponential nature of the problem, allowing it to handle larger inputs efficiently.
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