14. Longest Common Prefix
Finding the Longest Common Prefix in JavaScript
When working with arrays of strings, a common problem is finding the longest common prefix among these strings. The longest common prefix is the initial portion of all strings in the array that is identical. This is a frequent problem on coding platforms like LeetCode, and it's essential to understand how to tackle it efficiently. In this blog post, we'll dive into the intuition, approach, and complexity of finding the longest common prefix in JavaScript.
Intuition
The intuition behind finding the longest common prefix is simple. By sorting the array of strings lexicographically (alphabetically), we can bring the smallest and largest strings to the beginning and end of the array. The common prefix between the first and last string in this sorted array will give us the longest common prefix for the entire array. This approach leverages the natural order of strings to simplify our task.
Approach
Sort the Array: First, we sort the array of strings lexicographically. This step ensures that the strings with the smallest and largest prefixes come first and last.
javascriptstrs.sort();
Initialize Result Variable: We create a
result
string to store our common prefix.javascriptlet result = "";
Determine the Length for Comparison: We find the minimum length between the first and last strings in the sorted array to ensure we don't compare beyond the length of the shortest string.
javascriptlet n = Math.min(strs[0].length, strs[strs.length - 1].length);
Compare Characters: We iterate through the characters of the first and last strings up to the determined length. If characters at any position differ, we return the current
result
. Otherwise, we append the matching character to theresult
.javascriptfor(let i = 0; i < n; i++) { if(strs[strs.length - 1].charAt(i) !== strs[0].charAt(i)) { return result; } result += strs[0].charAt(i); }
Return the Result: After the loop, we return the accumulated
result
, which represents the longest common prefix.javascriptreturn result;
Complexity
Time Complexity: The time complexity of sorting the array is O(n log n), where
n
is the number of strings. Comparing the characters takes O(m) time, wherem
is the length of the shortest string. Therefore, the overall time complexity is O(n log n + m).Space Complexity: The space complexity is O(1) because we only use a constant amount of extra space for the
result
variable and the loop counters.
Example Code
Here's the complete JavaScript code to find the longest common prefix among an array of strings:
strs.sort();
let result = "";
let n = Math.min(strs[0].length, strs[strs.length - 1].length);
for(let i = 0; i < n; i++) {
if(strs[strs.length - 1].charAt(i) !== strs[0].charAt(i)) {
return result;
}
result += strs[0].charAt(i);
}
return result;
Conclusion
This approach to finding the longest common prefix is both efficient and straightforward. By sorting the strings and focusing on the first and last elements, we can determine the common prefix shared by all strings in the array.
For more detailed explanations and additional solutions, check out my solution on LeetCode: Longest Common Prefix - LeetCode
We hope this guide helps you understand how to solve the longest common prefix problem using JavaScript. Happy coding! š
If you have any questions or need further clarification, feel free to ask in the comments below!
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