A conveyor belt has packages that must be shipped from one port to another within days days.

The ith package on the conveyor belt has a weight of weights[i]. Each day, we load the ship with packages on the conveyor belt (in the order given by weights). We may not load more weight than the maximum weight capacity of the ship.

Return the least weight capacity of the ship that will result in all the packages on the conveyor belt being shipped within days days.

Input: weights = [1,2,3,4,5,6,7,8,9,10], days = 5
Output: 15
Explanation: A ship capacity of 15 is the minimum to ship all the packages in 5 days like this:
1st day: 1, 2, 3, 4, 5
2nd day: 6, 7
3rd day: 8
4th day: 9
5th day: 10
Note that the cargo must be shipped in the order given, so using a ship of capacity 14 and splitting the packages into parts like (2, 3, 4, 5), (1, 6, 7), (8), (9), (10) is not allowed.
Input: weights = [3,2,2,4,1,4], days = 3
Output: 6
Explanation: A ship capacity of 6 is the minimum to ship all the packages in 3 days like this:
1st day: 3, 2
2nd day: 2, 4
3rd day: 1, 4
Input: weights = [1,2,3,1,1], days = 4
Output: 3
Explanation:
1st day: 1
2nd day: 2
3rd day: 3
4th day: 1, 1
Constraints:

Contents

As per the problem statement, we were given some weights and we were told how many days we can utilize to ship those weights. We have to find least capacity required inorder to deliver those weights.

In this approach, we will apply Binary Search algorithm, since the input array is sorted in ascending order, we will use two pointers left and right to point to left and right end of array, and then using a while loop, compute the middle index mid = left + right _____________ 2 , then check if the element at mid index, based on the element found at mid index, we can draw three conclusions.

If that target is not found, we will return left index as answer, this is where the target element can be inserted.

Complexity Analysis:

Time complexity: Above code runs in O(log n) time where n is the length of input array nums.
Space complexity: O(1).

Above implementations source code can be found at GitHub link for Java code