LeetCode 330: Patching Array Solution
Master LeetCode problem 330 (Patching Array), a hard challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
Problem Explanation
Explanation
To solve this problem, we need to iteratively build up the range [1, n] using the existing elements in the array nums. We can do this by keeping track of the maximum reachable value reachable from the elements we have processed so far. If the next element in nums is greater than reachable + 1, we need to add a patch to the array to cover the gap between reachable + 1 and the next element. By adding a patch, we can extend the range that can be formed by summing the elements in the array.
Algorithm
- Initialize the variables
patchCountto 0,reachableto 0, andindexto 0. - While
reachableis less thann, check if the current element innumsat indexindexis less than or equal toreachable + 1. If it is, updatereachabletoreachable + nums[index]and move to the next element. - If the current element in
numsis greater thanreachable + 1, incrementpatchCount, addreachable + 1to the array, and updatereachableto2 * reachable + 1. - Repeat steps 2 and 3 until
reachableis greater than or equal ton. - Return the
patchCount.
Time Complexity
The time complexity of this algorithm is O(log(n)) since the number of patches required grows logarithmically with n.
Space Complexity
The space complexity is O(1) as we are using only a constant amount of extra space.
Solution Code
class Solution {
public int minPatches(int[] nums, int n) {
long reachable = 0;
int patchCount = 0;
int index = 0;
while (reachable < n) {
if (index < nums.length && nums[index] <= reachable + 1) {
reachable += nums[index];
index++;
} else {
patchCount++;
reachable = 2 * reachable + 1;
}
}
return patchCount;
}
}Try It Yourself
Loading code editor...
Related LeetCode Problems
Frequently Asked Questions
How to solve LeetCode 330 (Patching Array)?
This page provides optimized solutions for LeetCode problem 330 (Patching Array) in Java, C++, and Python, along with a detailed explanation and an interactive code editor to test your code.
What is the time complexity of LeetCode 330 (Patching Array)?
The time complexity for LeetCode 330 (Patching Array) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.
Can I run code for LeetCode 330 on DevExCode?
Yes, DevExCode provides an interactive code editor where you can write, test, and run your code for LeetCode 330 in Java, C++, or Python.