Burst Balloons — LeetCode 312 Python Solution
- Problem
- #312
- Pattern
- Dynamic Programming
- Reading time
- 2 min
- Source
- leetcode.com
The problem
You are given n balloons, indexed from 0 to n - 1. Each balloon is painted with a number on it represented by an array nums.
Example
- Input
- nums = [3,1,5,8]
- Output
- 167
- Explanation
- nums = [3,1,5,8] --> [3,5,8] --> [3,8] --> [8] --> []
Python solution
class Solution:
def maxCoins(self, nums: List[int]) -> int:
n = len(nums)
arr = [1] + nums + [1]
f = [[0] * (n + 2) for _ in range(n + 2)]
for i in range(n - 1, -1, -1):
for j in range(i + 2, n + 2):
for k in range(i + 1, j):
f[i][j] = max(f[i][j], f[i][k] + f[k][j] + arr[i] * arr[k] * arr[j])
return f[0][-1]Complexity
| Measure | Complexity |
|---|---|
| Time | O(n^3) |
| Space | O(n^2) auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 312. Burst Balloons is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
Related problems
On a study list
This problem is on NeetCode 150.
Frequently asked questions
- How hard is LeetCode 312. Burst Balloons?
- LeetCode 312. Burst Balloons is rated Hard on LeetCode.
- What is the time complexity of LeetCode 312. Burst Balloons?
- The Python solution on this page runs in O(n^3).
- What is the space complexity of LeetCode 312. Burst Balloons?
- The Python solution on this page uses O(n^2) auxiliary space.
- What topics does LeetCode 312. Burst Balloons cover?
- LeetCode 312. Burst Balloons is tagged Array and Dynamic Programming on LeetCode.