LeetCode 3413: Maximum Coins From K Consecutive Bags Solution
Master LeetCode problem 3413 (Maximum Coins From K Consecutive Bags), a medium 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.
3413. Maximum Coins From K Consecutive Bags
Problem Explanation
Explanation:
To solve this problem, we can iterate through each bag and calculate the total coins that can be obtained by considering k consecutive bags starting at that bag. We can maintain a prefix sum array to efficiently calculate the total coins in any range of bags.
- Initialize a prefix sum array to store the total coins up to each bag.
- Iterate through each bag and update the prefix sum array.
- For each bag, calculate the total coins in the range of k consecutive bags starting at that bag using the prefix sum array.
- Keep track of the maximum total coins obtained.
Time Complexity:
- We iterate through all bags once to calculate the prefix sum array which takes O(n) time.
- Then, for each bag, we calculate the total coins in the range of k bags in O(1) time using the prefix sum array.
- Thus, the total time complexity is O(n) where n is the number of bags.
Space Complexity:
- We use O(n) extra space to store the prefix sum array.
:
Solution Code
class Solution {
public int maxCoins(int[][] coins, int k) {
int n = coins.length;
int[] prefixSum = new int[n];
for (int i = 0; i < n; i++) {
prefixSum[i] = coins[i][2];
if (i > 0) {
prefixSum[i] += prefixSum[i - 1];
}
}
int maxCoins = 0;
for (int i = 0; i < n; i++) {
int end = i + k - 1;
if (end >= n) {
break;
}
int currCoins = prefixSum[end] - (i > 0 ? prefixSum[i - 1] : 0);
maxCoins = Math.max(maxCoins, currCoins);
}
return maxCoins;
}
}Try It Yourself
Loading code editor...
Related LeetCode Problems
Frequently Asked Questions
How to solve LeetCode 3413 (Maximum Coins From K Consecutive Bags)?
This page provides optimized solutions for LeetCode problem 3413 (Maximum Coins From K Consecutive Bags) 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 3413 (Maximum Coins From K Consecutive Bags)?
The time complexity for LeetCode 3413 (Maximum Coins From K Consecutive Bags) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.
Can I run code for LeetCode 3413 on DevExCode?
Yes, DevExCode provides an interactive code editor where you can write, test, and run your code for LeetCode 3413 in Java, C++, or Python.