Below is the implementation of the count vowels permutation:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187/** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming (2D) approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutation(n) { const MOD = 1000000007; // Initialize DP array // dp[i][j] = number of valid strings of length i that end with vowel j // j: 0 = 'a', 1 = 'e', 2 = 'i', 3 = 'o', 4 = 'u' const dp = Array(n + 1).fill().map(() => Array(5).fill(0)); // Base cases: there is one valid string of length 1 for each vowel for (let j = 0; j < 5; j++) { dp[1][j] = 1; } // Fill DP array for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') dp[i][0] = (dp[i - 1][1] + dp[i - 1][2] + dp[i - 1][4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') dp[i][1] = (dp[i - 1][0] + dp[i - 1][2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') dp[i][2] = (dp[i - 1][1] + dp[i - 1][3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') dp[i][3] = dp[i - 1][2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') dp[i][4] = (dp[i - 1][2] + dp[i - 1][3]) % MOD; } // Calculate the final answer: sum of dp[n][j] for all j from 0 to 4 let result = 0; for (let j = 0; j < 5; j++) { result = (result + dp[n][j]) % MOD; } return result;} /** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming with Space Optimization. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationOptimized(n) { const MOD = 1000000007; // Initialize arrays for previous and current lengths let prev = Array(5).fill(1); // Base case: one valid string of length 1 for each vowel let curr = Array(5).fill(0); // Fill arrays for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') curr[0] = (prev[1] + prev[2] + prev[4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') curr[1] = (prev[0] + prev[2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') curr[2] = (prev[1] + prev[3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') curr[3] = prev[2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') curr[4] = (prev[2] + prev[3]) % MOD; // Update prev array prev = [...curr]; } // Calculate the final answer: sum of prev[j] for all j from 0 to 4 return prev.reduce((sum, val) => (sum + val) % MOD, 0);} /** * Count the number of strings of length n that can be formed under the given rules. * Matrix Exponentiation approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationMatrix(n) { const MOD = 1000000007; // If n is 1, return 5 (one valid string of length 1 for each vowel) if (n === 1) { return 5; } // Define the transition matrix const matrix = [ [0, 1, 1, 0, 1], // a can be followed by e, i, u [1, 0, 1, 0, 0], // e can be followed by a, i [0, 1, 0, 1, 0], // i can be followed by e, o [0, 0, 1, 0, 0], // o can be followed by i [0, 0, 1, 1, 0] // u can be followed by i, o ]; // Compute matrix^(n-1) const resultMatrix = matrixPower(matrix, n - 1, MOD); // Calculate the final answer: sum of all elements in the result matrix let result = 0; for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { result = (result + resultMatrix[i][j]) % MOD; } } return result;} /** * Compute the power of a matrix using binary exponentiation. * * @param {number[][]} matrix - The base matrix * @param {number} n - The exponent * @param {number} mod - The modulo value * @return {number[][]} - The resulting matrix */function matrixPower(matrix, n, mod) { // Base case: matrix^0 = identity matrix if (n === 0) { const identity = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { identity[i][i] = 1; } return identity; } // If n is odd, compute matrix^(n-1) * matrix if (n % 2 === 1) { const result = matrixPower(matrix, n - 1, mod); return multiplyMatrices(result, matrix, mod); } // If n is even, compute (matrix^(n/2))^2 const half = matrixPower(matrix, Math.floor(n / 2), mod); return multiplyMatrices(half, half, mod);} /** * Multiply two matrices. * * @param {number[][]} a - First matrix * @param {number[][]} b - Second matrix * @param {number} mod - The modulo value * @return {number[][]} - The product of the two matrices */function multiplyMatrices(a, b, mod) { const result = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { for (let k = 0; k < 5; k++) { result[i][j] = (result[i][j] + a[i][k] * b[k][j]) % mod; } } } return result;} // Test casesconsole.log(countVowelPermutation(1)); // 5console.log(countVowelPermutation(2)); // 10console.log(countVowelPermutation(5)); // 68 console.log(countVowelPermutationOptimized(1)); // 5console.log(countVowelPermutationOptimized(2)); // 10console.log(countVowelPermutationOptimized(5)); // 68 console.log(countVowelPermutationMatrix(1)); // 5console.log(countVowelPermutationMatrix(2)); // 10console.log(countVowelPermutationMatrix(5)); // 68
Let's break down the implementation:
Implement the count vowels permutation solution in different programming languages.
Below is the implementation of the count vowels permutation in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187/** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming (2D) approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutation(n) { const MOD = 1000000007; // Initialize DP array // dp[i][j] = number of valid strings of length i that end with vowel j // j: 0 = 'a', 1 = 'e', 2 = 'i', 3 = 'o', 4 = 'u' const dp = Array(n + 1).fill().map(() => Array(5).fill(0)); // Base cases: there is one valid string of length 1 for each vowel for (let j = 0; j < 5; j++) { dp[1][j] = 1; } // Fill DP array for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') dp[i][0] = (dp[i - 1][1] + dp[i - 1][2] + dp[i - 1][4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') dp[i][1] = (dp[i - 1][0] + dp[i - 1][2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') dp[i][2] = (dp[i - 1][1] + dp[i - 1][3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') dp[i][3] = dp[i - 1][2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') dp[i][4] = (dp[i - 1][2] + dp[i - 1][3]) % MOD; } // Calculate the final answer: sum of dp[n][j] for all j from 0 to 4 let result = 0; for (let j = 0; j < 5; j++) { result = (result + dp[n][j]) % MOD; } return result;} /** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming with Space Optimization. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationOptimized(n) { const MOD = 1000000007; // Initialize arrays for previous and current lengths let prev = Array(5).fill(1); // Base case: one valid string of length 1 for each vowel let curr = Array(5).fill(0); // Fill arrays for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') curr[0] = (prev[1] + prev[2] + prev[4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') curr[1] = (prev[0] + prev[2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') curr[2] = (prev[1] + prev[3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') curr[3] = prev[2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') curr[4] = (prev[2] + prev[3]) % MOD; // Update prev array prev = [...curr]; } // Calculate the final answer: sum of prev[j] for all j from 0 to 4 return prev.reduce((sum, val) => (sum + val) % MOD, 0);} /** * Count the number of strings of length n that can be formed under the given rules. * Matrix Exponentiation approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationMatrix(n) { const MOD = 1000000007; // If n is 1, return 5 (one valid string of length 1 for each vowel) if (n === 1) { return 5; } // Define the transition matrix const matrix = [ [0, 1, 1, 0, 1], // a can be followed by e, i, u [1, 0, 1, 0, 0], // e can be followed by a, i [0, 1, 0, 1, 0], // i can be followed by e, o [0, 0, 1, 0, 0], // o can be followed by i [0, 0, 1, 1, 0] // u can be followed by i, o ]; // Compute matrix^(n-1) const resultMatrix = matrixPower(matrix, n - 1, MOD); // Calculate the final answer: sum of all elements in the result matrix let result = 0; for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { result = (result + resultMatrix[i][j]) % MOD; } } return result;} /** * Compute the power of a matrix using binary exponentiation. * * @param {number[][]} matrix - The base matrix * @param {number} n - The exponent * @param {number} mod - The modulo value * @return {number[][]} - The resulting matrix */function matrixPower(matrix, n, mod) { // Base case: matrix^0 = identity matrix if (n === 0) { const identity = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { identity[i][i] = 1; } return identity; } // If n is odd, compute matrix^(n-1) * matrix if (n % 2 === 1) { const result = matrixPower(matrix, n - 1, mod); return multiplyMatrices(result, matrix, mod); } // If n is even, compute (matrix^(n/2))^2 const half = matrixPower(matrix, Math.floor(n / 2), mod); return multiplyMatrices(half, half, mod);} /** * Multiply two matrices. * * @param {number[][]} a - First matrix * @param {number[][]} b - Second matrix * @param {number} mod - The modulo value * @return {number[][]} - The product of the two matrices */function multiplyMatrices(a, b, mod) { const result = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { for (let k = 0; k < 5; k++) { result[i][j] = (result[i][j] + a[i][k] * b[k][j]) % mod; } } } return result;} // Test casesconsole.log(countVowelPermutation(1)); // 5console.log(countVowelPermutation(2)); // 10console.log(countVowelPermutation(5)); // 68 console.log(countVowelPermutationOptimized(1)); // 5console.log(countVowelPermutationOptimized(2)); // 10console.log(countVowelPermutationOptimized(5)); // 68 console.log(countVowelPermutationMatrix(1)); // 5console.log(countVowelPermutationMatrix(2)); // 10console.log(countVowelPermutationMatrix(5)); // 68
Understand the rules for forming valid strings with vowels and the constraints on which vowel can follow another.
Set up a dynamic programming array to keep track of the number of valid strings of each length ending with each vowel.
Define the base case: there is one valid string of length 1 for each vowel.
For each length and each vowel, calculate the number of valid strings by considering all possible previous vowels that can lead to the current vowel.
Sum up the number of valid strings of the target length ending with each vowel, applying the modulo operation to avoid integer overflow.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the count vowels permutation problem using a different approach than shown above.
Handle the case where n is 1 (return 5, as there is one valid string for each vowel).
Handle large values of n efficiently to avoid stack overflow or timeout issues.
Apply the modulo operation at each step to avoid integer overflow, as the answer can be very large.
Below is the implementation of the count vowels permutation:
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187/** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming (2D) approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutation(n) { const MOD = 1000000007; // Initialize DP array // dp[i][j] = number of valid strings of length i that end with vowel j // j: 0 = 'a', 1 = 'e', 2 = 'i', 3 = 'o', 4 = 'u' const dp = Array(n + 1).fill().map(() => Array(5).fill(0)); // Base cases: there is one valid string of length 1 for each vowel for (let j = 0; j < 5; j++) { dp[1][j] = 1; } // Fill DP array for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') dp[i][0] = (dp[i - 1][1] + dp[i - 1][2] + dp[i - 1][4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') dp[i][1] = (dp[i - 1][0] + dp[i - 1][2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') dp[i][2] = (dp[i - 1][1] + dp[i - 1][3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') dp[i][3] = dp[i - 1][2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') dp[i][4] = (dp[i - 1][2] + dp[i - 1][3]) % MOD; } // Calculate the final answer: sum of dp[n][j] for all j from 0 to 4 let result = 0; for (let j = 0; j < 5; j++) { result = (result + dp[n][j]) % MOD; } return result;} /** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming with Space Optimization. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationOptimized(n) { const MOD = 1000000007; // Initialize arrays for previous and current lengths let prev = Array(5).fill(1); // Base case: one valid string of length 1 for each vowel let curr = Array(5).fill(0); // Fill arrays for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') curr[0] = (prev[1] + prev[2] + prev[4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') curr[1] = (prev[0] + prev[2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') curr[2] = (prev[1] + prev[3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') curr[3] = prev[2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') curr[4] = (prev[2] + prev[3]) % MOD; // Update prev array prev = [...curr]; } // Calculate the final answer: sum of prev[j] for all j from 0 to 4 return prev.reduce((sum, val) => (sum + val) % MOD, 0);} /** * Count the number of strings of length n that can be formed under the given rules. * Matrix Exponentiation approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationMatrix(n) { const MOD = 1000000007; // If n is 1, return 5 (one valid string of length 1 for each vowel) if (n === 1) { return 5; } // Define the transition matrix const matrix = [ [0, 1, 1, 0, 1], // a can be followed by e, i, u [1, 0, 1, 0, 0], // e can be followed by a, i [0, 1, 0, 1, 0], // i can be followed by e, o [0, 0, 1, 0, 0], // o can be followed by i [0, 0, 1, 1, 0] // u can be followed by i, o ]; // Compute matrix^(n-1) const resultMatrix = matrixPower(matrix, n - 1, MOD); // Calculate the final answer: sum of all elements in the result matrix let result = 0; for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { result = (result + resultMatrix[i][j]) % MOD; } } return result;} /** * Compute the power of a matrix using binary exponentiation. * * @param {number[][]} matrix - The base matrix * @param {number} n - The exponent * @param {number} mod - The modulo value * @return {number[][]} - The resulting matrix */function matrixPower(matrix, n, mod) { // Base case: matrix^0 = identity matrix if (n === 0) { const identity = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { identity[i][i] = 1; } return identity; } // If n is odd, compute matrix^(n-1) * matrix if (n % 2 === 1) { const result = matrixPower(matrix, n - 1, mod); return multiplyMatrices(result, matrix, mod); } // If n is even, compute (matrix^(n/2))^2 const half = matrixPower(matrix, Math.floor(n / 2), mod); return multiplyMatrices(half, half, mod);} /** * Multiply two matrices. * * @param {number[][]} a - First matrix * @param {number[][]} b - Second matrix * @param {number} mod - The modulo value * @return {number[][]} - The product of the two matrices */function multiplyMatrices(a, b, mod) { const result = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { for (let k = 0; k < 5; k++) { result[i][j] = (result[i][j] + a[i][k] * b[k][j]) % mod; } } } return result;} // Test casesconsole.log(countVowelPermutation(1)); // 5console.log(countVowelPermutation(2)); // 10console.log(countVowelPermutation(5)); // 68 console.log(countVowelPermutationOptimized(1)); // 5console.log(countVowelPermutationOptimized(2)); // 10console.log(countVowelPermutationOptimized(5)); // 68 console.log(countVowelPermutationMatrix(1)); // 5console.log(countVowelPermutationMatrix(2)); // 10console.log(countVowelPermutationMatrix(5)); // 68
Let's break down the implementation:
Implement the count vowels permutation solution in different programming languages.
Below is the implementation of the count vowels permutation in different programming languages. Select a language tab to view the corresponding code.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187/** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming (2D) approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutation(n) { const MOD = 1000000007; // Initialize DP array // dp[i][j] = number of valid strings of length i that end with vowel j // j: 0 = 'a', 1 = 'e', 2 = 'i', 3 = 'o', 4 = 'u' const dp = Array(n + 1).fill().map(() => Array(5).fill(0)); // Base cases: there is one valid string of length 1 for each vowel for (let j = 0; j < 5; j++) { dp[1][j] = 1; } // Fill DP array for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') dp[i][0] = (dp[i - 1][1] + dp[i - 1][2] + dp[i - 1][4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') dp[i][1] = (dp[i - 1][0] + dp[i - 1][2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') dp[i][2] = (dp[i - 1][1] + dp[i - 1][3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') dp[i][3] = dp[i - 1][2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') dp[i][4] = (dp[i - 1][2] + dp[i - 1][3]) % MOD; } // Calculate the final answer: sum of dp[n][j] for all j from 0 to 4 let result = 0; for (let j = 0; j < 5; j++) { result = (result + dp[n][j]) % MOD; } return result;} /** * Count the number of strings of length n that can be formed under the given rules. * Dynamic Programming with Space Optimization. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationOptimized(n) { const MOD = 1000000007; // Initialize arrays for previous and current lengths let prev = Array(5).fill(1); // Base case: one valid string of length 1 for each vowel let curr = Array(5).fill(0); // Fill arrays for (let i = 2; i <= n; i++) { // Strings ending with 'a' (can only be formed by appending 'a' to strings ending with 'e', 'i', or 'u') curr[0] = (prev[1] + prev[2] + prev[4]) % MOD; // Strings ending with 'e' (can only be formed by appending 'e' to strings ending with 'a' or 'i') curr[1] = (prev[0] + prev[2]) % MOD; // Strings ending with 'i' (can only be formed by appending 'i' to strings ending with 'e' or 'o') curr[2] = (prev[1] + prev[3]) % MOD; // Strings ending with 'o' (can only be formed by appending 'o' to strings ending with 'i') curr[3] = prev[2]; // Strings ending with 'u' (can only be formed by appending 'u' to strings ending with 'i' or 'o') curr[4] = (prev[2] + prev[3]) % MOD; // Update prev array prev = [...curr]; } // Calculate the final answer: sum of prev[j] for all j from 0 to 4 return prev.reduce((sum, val) => (sum + val) % MOD, 0);} /** * Count the number of strings of length n that can be formed under the given rules. * Matrix Exponentiation approach. * * @param {number} n - Length of the strings * @return {number} - Number of valid strings */function countVowelPermutationMatrix(n) { const MOD = 1000000007; // If n is 1, return 5 (one valid string of length 1 for each vowel) if (n === 1) { return 5; } // Define the transition matrix const matrix = [ [0, 1, 1, 0, 1], // a can be followed by e, i, u [1, 0, 1, 0, 0], // e can be followed by a, i [0, 1, 0, 1, 0], // i can be followed by e, o [0, 0, 1, 0, 0], // o can be followed by i [0, 0, 1, 1, 0] // u can be followed by i, o ]; // Compute matrix^(n-1) const resultMatrix = matrixPower(matrix, n - 1, MOD); // Calculate the final answer: sum of all elements in the result matrix let result = 0; for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { result = (result + resultMatrix[i][j]) % MOD; } } return result;} /** * Compute the power of a matrix using binary exponentiation. * * @param {number[][]} matrix - The base matrix * @param {number} n - The exponent * @param {number} mod - The modulo value * @return {number[][]} - The resulting matrix */function matrixPower(matrix, n, mod) { // Base case: matrix^0 = identity matrix if (n === 0) { const identity = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { identity[i][i] = 1; } return identity; } // If n is odd, compute matrix^(n-1) * matrix if (n % 2 === 1) { const result = matrixPower(matrix, n - 1, mod); return multiplyMatrices(result, matrix, mod); } // If n is even, compute (matrix^(n/2))^2 const half = matrixPower(matrix, Math.floor(n / 2), mod); return multiplyMatrices(half, half, mod);} /** * Multiply two matrices. * * @param {number[][]} a - First matrix * @param {number[][]} b - Second matrix * @param {number} mod - The modulo value * @return {number[][]} - The product of the two matrices */function multiplyMatrices(a, b, mod) { const result = Array(5).fill().map(() => Array(5).fill(0)); for (let i = 0; i < 5; i++) { for (let j = 0; j < 5; j++) { for (let k = 0; k < 5; k++) { result[i][j] = (result[i][j] + a[i][k] * b[k][j]) % mod; } } } return result;} // Test casesconsole.log(countVowelPermutation(1)); // 5console.log(countVowelPermutation(2)); // 10console.log(countVowelPermutation(5)); // 68 console.log(countVowelPermutationOptimized(1)); // 5console.log(countVowelPermutationOptimized(2)); // 10console.log(countVowelPermutationOptimized(5)); // 68 console.log(countVowelPermutationMatrix(1)); // 5console.log(countVowelPermutationMatrix(2)); // 10console.log(countVowelPermutationMatrix(5)); // 68
Understand the rules for forming valid strings with vowels and the constraints on which vowel can follow another.
Set up a dynamic programming array to keep track of the number of valid strings of each length ending with each vowel.
Define the base case: there is one valid string of length 1 for each vowel.
For each length and each vowel, calculate the number of valid strings by considering all possible previous vowels that can lead to the current vowel.
Sum up the number of valid strings of the target length ending with each vowel, applying the modulo operation to avoid integer overflow.
Modify the code to implement an alternative approach and test it with the same examples.
Implement a function that solves the count vowels permutation problem using a different approach than shown above.
Handle the case where n is 1 (return 5, as there is one valid string for each vowel).
Handle large values of n efficiently to avoid stack overflow or timeout issues.
Apply the modulo operation at each step to avoid integer overflow, as the answer can be very large.