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This approach involves constructing the sequence iteratively. We start from the base case, which is '1', and iteratively build up the strings by counting and saying the digits from the last constructed string.
Time Complexity: O(2^n) as the length of the string grows exponentially.
Space Complexity: O(2^n) for storing the string.
1#include <stdio.h>
2#include <stdlib.h>
3#include <string.h>
4
5char* countAndSay(int n) {
6 char* result = malloc(2);
7 strcpy(result, "1");
8 for (int i = 1; i < n; i++) {
9 int len = strlen(result);
10 char* temp = malloc(2 * len + 1);
11 int index = 0;
12 for (int j = 0; j < len;) {
13 char current_digit = result[j];
14 int count = 0;
15 while (j < len && result[j] == current_digit) {
16 count++;
17 j++;
18 }
19 index += sprintf(temp + index, "%d%c", count, current_digit);
20 }
21 free(result);
22 result = temp;
23 }
24 return result;
25}
26
27int main() {
28 int n = 4;
29 char* result = countAndSay(n);
30 printf("%s\n", result);
31 free(result);
32 return 0;
33}The solution initializes the result to '1'. For each iteration, it constructs the next sequence by reading the current result, counting contiguous digits, and forming a new string based on these counts. Memory is managed dynamically to accommodate changing string sizes.
The recursive approach defines the function countAndSay recursively by computing countAndSay(n-1), then generating the count-and-say encoding for it.
This method involves less memory usage on the function stack compared to an iterative approach but still leverages recursion for elegance.
Time Complexity: O(2^n) as strings grow exponentially.
Space Complexity: O(2^n) due to storing strings and O(n) recursion stack.
1def
Python's recursive approach utilizes next_sequence to derive each pattern step-by-step recursively until reaching the required iteration, reducing overall complexity with easy-to-read recursive logic.