Algorithm
Problem Name: 452. Minimum Number of Arrows to Burst Balloons
Problem Link: https://leetcode.com/problems/minimum-number-of-arrows-to-burst-balloons/
There are some spherical balloons taped onto a flat wall that represents the XY-plane. The balloons are represented as a 2D integer array points
where points[i] = [xstart, xend]
denotes a balloon whose horizontal diameter stretches between xstart
and xend
. You do not know the exact y-coordinates of the balloons.
Arrows can be shot up directly vertically (in the positive y-direction) from different points along the x-axis. A balloon with xstart
and xend
is burst by an arrow shot at x
if xstart <= x <= xend
. There is no limit to the number of arrows that can be shot. A shot arrow keeps traveling up infinitely, bursting any balloons in its path.
Given the array points
, return the minimum number of arrows that must be shot to burst all balloons.
Example 1:
Input: points = [[10,16],[2,8],[1,6],[7,12]] Output: 2 Explanation: The balloons can be burst by 2 arrows: - Shoot an arrow at x = 6, bursting the balloons [2,8] and [1,6]. - Shoot an arrow at x = 11, bursting the balloons [10,16] and [7,12].
Example 2:
Input: points = [[1,2],[3,4],[5,6],[7,8]] Output: 4 Explanation: One arrow needs to be shot for each balloon for a total of 4 arrows.
Example 3:
Input: points = [[1,2],[2,3],[3,4],[4,5]] Output: 2 Explanation: The balloons can be burst by 2 arrows: - Shoot an arrow at x = 2, bursting the balloons [1,2] and [2,3]. - Shoot an arrow at x = 4, bursting the balloons [3,4] and [4,5].
Constraints:
1 <= points.length <= 105
points[i].length == 2
-231 <= xstart < xend <= 231 - 1
Code Examples
#1 Code Example with Java Programming
Code -
Java Programming
class Solution {
public int findMinArrowShots(int[][] points) {
Arrays.sort(points, Comparator.comparingInt((int[] o) -> o[1]));
int count = 0;
int idx = 0;
while (idx < points.length) {
int currEnd = points[idx][1];
while (idx < points.length && points[idx][0] <= currEnd) {
idx++;
}
count++;
}
return count;
}
}
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#2 Code Example with Javascript Programming
Code -
Javascript Programming
const findMinArrowShots = function(points) {
const sorted = points.sort((a, b) => a[0] - b[0])
let ans = 0
let lastX = null
for (let i = 0; i < sorted.length; i += 1) {
if (lastX && sorted[i][0] <= lastX) {
lastX = Math.min(sorted[i][1], lastX)
} else {
ans += 1
lastX = sorted[i][1]
}
}
return ans
}
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#3 Code Example with Python Programming
Code -
Python Programming
class Solution:
def findMinArrowShots(self, p):
p.sort(key = lambda x: x[1])
(res, curr) = (1, p[0][1]) if p else (0, None)
for n in p:
if n[0] > curr: res, curr = res + 1, n[1]
return res
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#4 Code Example with C# Programming
Code -
C# Programming
using System;
namespace LeetCode
{
public class _0452_MinimumNumberOfArrowsToBurstBalloons
{
public int FindMinArrowShots(int[][] points)
{
if (points.Length == 0) return 0;
Array.Sort(points, (a, b) => a[0].CompareTo(b[0]));
var result = 1;
int end = points[0][1];
foreach (var point in points)
{
if (point[0] < = end)
end = Math.Min(end, point[1]);
else
{
result++;
end = point[1];
}
}
return result;
}
}
}
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