https://leetcode-cn.com/problems/capacity-to-ship-packages-within-d-days
A conveyor belt has packages that must be shipped from one port to another within D days.
The i-th 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 D days.
Example 1:
Input: weights = [1,2,3,4,5,6,7,8,9,10], D = 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.
Example 2:
Input: weights = [3,2,2,4,1,4], D = 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
Example 3:
Input: weights = [1,2,3,1,1], D = 4
Output: 3
Explanation:
1st day: 1
2nd day: 2
3rd day: 3
4th day: 1, 1
Note:
1 <= D <= weights.length <= 500001 <= weights[i] <= 500
The problem is same as [LeetCode 875 koko-eating-bananas] (https://github.com/azl397985856/leetcode/blob/master/problems/875.koko-eating-bananas-en.md) practically.
It is easy to solve this kind of problems if you take a closer look into it.
The essence is to search a given number in finite discrete data like [ 1,2,3,4, ... , total ].
However, We should find the cargo that can be shipped in D days rather than look for the target directly.
Consider the following questions:
- Can it be shipped if the capacity is 1?
- Can it be shipped if the capacity is 2?
- Can it be shipped if the capacity is 3?
- ...
- Can it be shipped if the capacity is total ? ( Yeap we can, D is greater than or equal to 1)
During the process, we directly return if the answer is yes.
If the answer is no, just keep asking.
This is a typical binary search problem, the only difference is the judgement condition:
def canShip(opacity):
# Whether the capacity of the specified ship can be shipped in D days
lo = 0
hi = total
while lo < hi:
mid = (lo + hi) // 2
if canShip(mid):
hi = mid
else:
lo = mid + 1
return lo- if you are so familiar with binary search as well its transformation, you can easily find out that using binary search to find one number in a given number sequence of a certain length.
Python
class Solution:
def shipWithinDays(self, weights: List[int], D: int) -> int:
lo = 0
hi = 0
def canShip(opacity):
days = 1
remain = opacity
for weight in weights:
if weight > opacity:
return False
remain -= weight
if remain < 0:
days += 1
remain = opacity - weight
return days <= D
for weight in weights:
hi += weight
while lo < hi:
mid = (lo + hi) // 2
if canShip(mid):
hi = mid
else:
lo = mid + 1
return loJavaScript
/**
* @param {number[]} weights
* @param {number} D
* @return {number}
*/
var shipWithinDays = function(weights, D) {
let high = weights.reduce((acc, cur) => acc + cur)
let low = 0
while(low < high) {
let mid = Math.floor((high + low) / 2)
if (canShip(mid)) {
high = mid
} else {
low = mid + 1
}
}
return low
function canShip(opacity) {
let remain = opacity
let count = 1
for (let weight of weights) {
if (weight > opacity) {
return false
}
remain -= weight
if (remain < 0) {
count++
remain = opacity - weight
}
if (count > D) {
return false
}
}
return count <= D
}
};