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1011. Capacity To Ship Packages Within D Days

This page provides solutions for the leetcode problem 1011. Capacity To Ship Packages Within D Days.

Problem Explanation

The problem is asking us to calculate the least weight capacity of the ship that will allow all the packages on the conveyor belt to be shipped within a d\text{d} days.

Solution

This problem can be solved using the Binary Search technique. More such questions can be found here.

class Solution {
public int shipWithinDays(int[] weights, int days) {
int lo = Integer.MIN_VALUE;
int hi = 0;
for(int i = 0; i < weights.length; i++) {
lo = Math.max(lo, weights[i]);
hi += weights[i];
}

while(lo < hi) {
int mid = lo + (hi - lo) / 2;
boolean isMoreDays = daysRequired(weights, mid, days);
if(isMoreDays) lo = mid + 1;
else hi = mid;
}
return lo;
}

private boolean daysRequired(int[] weights, int capacity, int days) {
int required = 0, index = 0, sum = 0, requiredDays = 1;
while(index < weights.length) {
sum += weights[index];
if(sum > capacity) {
sum = weights[index];
requiredDays++;
}
index++;
if(requiredDays > days) return true;
}
return false;
}
}

Complexity

Let's say there are N\text{N} elements in an array, and total sum of all elements in an array is S\text{S}.

Time Complexity

The time complexity is O(logS)\text{O}(\log \text{S}) for searching the optimal solution using binary search, and O(N)\text{O}(\text{N}) for checking if the array can be split into K\text{K} subarrays, so total time complexity will be:

O(NlogS)\text{O}(\text{N} \log \text{S})

Space Complexity

The solution uses constant space for storing binary search variables, so space complexity will be:

O(1)\text{O}(1)