Given an integer n
, your task is to count how many strings of length n
can be formed under the following rules:
'a'
, 'e'
, 'i'
, 'o'
, 'u'
)'a'
may only be followed by an 'e'
.'e'
may only be followed by an 'a'
or an 'i'
.'i'
may not be followed by another 'i'
.'o'
may only be followed by an 'i'
or a 'u'
.'u'
may only be followed by an 'a'
.Since the answer may be too large, return it modulo 10^9 + 7
.
Input: n = 1
Output: 5
Explanation: All possible strings are: 'a', 'e', 'i', 'o', 'u'.
Input: n = 2
Output: 10
Explanation: All possible strings are: 'ae', 'ea', 'ei', 'ia', 'ie', 'io', 'iu', 'oi', 'ou', 'ua'.
Input: n = 5
Output: 68
Explanation: This is the number of possible strings of length 5 that can be formed under the given rules.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
Given an integer n
, your task is to count how many strings of length n
can be formed under the following rules:
'a'
, 'e'
, 'i'
, 'o'
, 'u'
)'a'
may only be followed by an 'e'
.'e'
may only be followed by an 'a'
or an 'i'
.'i'
may not be followed by another 'i'
.'o'
may only be followed by an 'i'
or a 'u'
.'u'
may only be followed by an 'a'
.Since the answer may be too large, return it modulo 10^9 + 7
.
All possible strings are: 'a', 'e', 'i', 'o', 'u'.
All possible strings are: 'ae', 'ea', 'ei', 'ia', 'ie', 'io', 'iu', 'oi', 'ou', 'ua'.
This is the number of possible strings of length 5 that can be formed under the given rules.
This problem can be solved using dynamic programming.
We need to keep track of the count of strings ending with each vowel.
The state of the DP array is defined by the current length and the last vowel.
The recurrence relation involves considering all possible previous vowels that can lead to the current vowel.
The final answer is the sum of the counts for all vowels at length n.
This problem has several practical applications:
Analyzing and generating text with specific phonetic or grammatical constraints.
Solving problems that involve counting the number of ways to arrange objects under certain constraints.
Modeling systems where the next state depends only on the current state, not on the sequence of events that preceded it.
Given an integer n
, your task is to count how many strings of length n
can be formed under the following rules:
'a'
, 'e'
, 'i'
, 'o'
, 'u'
)'a'
may only be followed by an 'e'
.'e'
may only be followed by an 'a'
or an 'i'
.'i'
may not be followed by another 'i'
.'o'
may only be followed by an 'i'
or a 'u'
.'u'
may only be followed by an 'a'
.Since the answer may be too large, return it modulo 10^9 + 7
.
Input: n = 1
Output: 5
Explanation: All possible strings are: 'a', 'e', 'i', 'o', 'u'.
Input: n = 2
Output: 10
Explanation: All possible strings are: 'ae', 'ea', 'ei', 'ia', 'ie', 'io', 'iu', 'oi', 'ou', 'ua'.
Input: n = 5
Output: 68
Explanation: This is the number of possible strings of length 5 that can be formed under the given rules.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
Given an integer n
, your task is to count how many strings of length n
can be formed under the following rules:
'a'
, 'e'
, 'i'
, 'o'
, 'u'
)'a'
may only be followed by an 'e'
.'e'
may only be followed by an 'a'
or an 'i'
.'i'
may not be followed by another 'i'
.'o'
may only be followed by an 'i'
or a 'u'
.'u'
may only be followed by an 'a'
.Since the answer may be too large, return it modulo 10^9 + 7
.
All possible strings are: 'a', 'e', 'i', 'o', 'u'.
All possible strings are: 'ae', 'ea', 'ei', 'ia', 'ie', 'io', 'iu', 'oi', 'ou', 'ua'.
This is the number of possible strings of length 5 that can be formed under the given rules.
This problem can be solved using dynamic programming.
We need to keep track of the count of strings ending with each vowel.
The state of the DP array is defined by the current length and the last vowel.
The recurrence relation involves considering all possible previous vowels that can lead to the current vowel.
The final answer is the sum of the counts for all vowels at length n.
This problem has several practical applications:
Analyzing and generating text with specific phonetic or grammatical constraints.
Solving problems that involve counting the number of ways to arrange objects under certain constraints.
Modeling systems where the next state depends only on the current state, not on the sequence of events that preceded it.