You are given an array people
where people[i]
is the weight of the ith
person, and an infinite number of boats where each boat can carry a maximum weight of limit
. Each boat carries at most two people at the same time, provided the sum of the weight of those people is at most limit
.
Return the minimum number of boats to carry every given person.
Example 1:
Input: people = [1,2], limit = 3
Output: 1
Explanation: 1 boat (1, 2)
Example 2:
Input: people = [3,2,2,1], limit = 3
Output: 3
Explanation: 3 boats (1, 2), (2) and (3)
Example 3:
Input: people = [3,5,3,4], limit = 5
Output: 4
Explanation: 4 boats (3), (3), (4), (5)
Constraints:
1 <= people.length <= 5 * 104
1 <= people[i] <= limit <= 3 * 104
Explanation:
Lets take an example:[7,9,3,2,8,6,4,5]
After Sorting[2,3,4,5,6,7,8,9]
Lets try to solve using 2 pointer approach.
- One will be my left pointer intially on the extreme left i.e. starting of the array
- One will be my right pointer intially on the extreme right i.e. end of the array
Okay, now when I sum up the value of:
Left + Right pointer, there could be 2 Possiblities.
Possibility 1.0 (sum <= limit) "sum could be less then or equals to my limit"
Possibility 2.0 (sum > limit) "sum could be greater then my limit"
Let’s talk about what we’ll do when we face Possibility no. 1.0
If that's the case then we only require single boat & increment the boatCount
, increment Left pointer
& decrement the right pointer
, as question has asked max 2 people allowed at a time and if their total weight is within limit both can be transferred and that’s why we have increment Left pointer
& decrement the right pointer
.
Let’s talk about what we’ll do when we face possibility no. 2.0
If that's the case then we only one person will go in boat & increment the boatCount
& decrement the right pointer
.
We have talk a lot, now let’s see it’s visually:
Code:
class Solution:
def numRescueBoats(self, people: List[int], limit: int) -> int:
people.sort()
i = 0
count = 0
j = len(people) - 1
while i <= j:
sum = people[i] + people[j]
if sum <= limit:
i += 1
j -= 1
count += 1
return count
- Time Complexity :- O(NlogN)
- Space COmplexity :- O(1)