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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Input

x
+
cmd
points = [[10,16],[2,8],[1,6],[7,12]]

Output

x
+
cmd
2

#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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Input

x
+
cmd
points = [[10,16],[2,8],[1,6],[7,12]]

Output

x
+
cmd
2

#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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Input

x
+
cmd
points = [[1,2],[3,4],[5,6],[7,8]]

Output

x
+
cmd
4

#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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Input

x
+
cmd
points = [[1,2],[3,4],[5,6],[7,8]]

Output

x
+
cmd
4
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