Given an input string s, reverse the order of the words.
A word is defined as a sequence of non-space characters. The words in s will be separated by one space for simplicity.
Return a string of the words in reverse order concatenated by a single space.
Example:
Input: input = "sky is blue" Output: "blue is sky"
The core challenge of this problem is to reverse the order of words in a given string while maintaining the integrity of each word. This problem is significant in text processing and has applications in natural language processing, data formatting, and more.
Potential pitfalls include handling multiple spaces, leading or trailing spaces, and ensuring that the words are correctly identified and reversed.
To solve this problem, we can consider the following approaches:
A naive solution would involve splitting the string into words, reversing the list of words, and then joining them back into a single string. This approach, while straightforward, may not be the most efficient in terms of space complexity.
An optimized solution would involve reversing the entire string first and then reversing each word in place. This approach minimizes the use of extra space and is more efficient.
Here is a step-by-step breakdown of the optimized algorithm:
#include <iostream>
#include <string>
#include <algorithm>
using namespace std;
// Function to reverse words in a string
string reverseWords(string s) {
// Reverse the entire string
reverse(s.begin(), s.end());
int start = 0, end = 0, n = s.length();
while (end < n) {
// Find the end of the current word
while (end < n && s[end] != ' ') {
end++;
}
// Reverse the current word
reverse(s.begin() + start, s.begin() + end);
// Move to the next word
start = end + 1;
end++;
}
return s;
}
int main() {
string input = "sky is blue";
string output = reverseWords(input);
cout << "Output: " << output << endl;
return 0;
}
The time complexity of the optimized solution is O(n), where n is the length of the string. This is because we are performing a constant amount of work for each character in the string.
The space complexity is O(1) as we are modifying the string in place and not using any extra space proportional to the input size.
Potential edge cases include:
To test the solution comprehensively, consider the following test cases:
Using a testing framework like Google Test can help automate and validate these test cases.
When approaching such problems, it is essential to:
Practicing similar problems and studying various algorithms can significantly improve problem-solving skills.
Reversing words in a string is a common problem in text processing. Understanding and implementing an optimized solution can enhance your coding skills and prepare you for more complex challenges. Keep practicing and exploring different approaches to improve your problem-solving abilities.
For further reading and practice, consider the following resources: