> For the complete documentation index, see [llms.txt](https://wentao-shao.gitbook.io/leetcode/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wentao-shao.gitbook.io/leetcode/graph-search/312.burst-balloons.md).

# 312.Burst-Balloons

## 312. Burst Balloons

## 题目地址

<https://leetcode.com/problems/burst-balloons/>

## 题目描述

```
Given n balloons, indexed from 0 to n-1. Each balloon is painted with a number on it represented by array nums. You are asked to burst all the balloons. If the you burst balloon i you will get nums[left] * nums[i] * nums[right] coins. Here left and right are adjacent indices of i. After the burst, the left and right then becomes adjacent.

Find the maximum coins you can collect by bursting the balloons wisely.

Note:
You may imagine nums[-1] = nums[n] = 1. They are not real therefore you can not burst them.
0 ≤ n ≤ 500, 0 ≤ nums[i] ≤ 100

Example:
Input: [3,1,5,8]
Output: 167 
Explanation: nums = [3,1,5,8] --> [3,5,8] -->   [3,8]   -->  [8]  --> []
             coins =  3*1*5      +  3*5*8    +  1*3*8      + 1*8*1   = 167
```

## 代码

### Approach #1 DFS

The best score after adding the `i`th balloon is given by:

`nums[left] * nums[i] * nums[right] + dp(left, i) + dp(i, right)`

```java
class Solution {
  public int maxCoins(int[] nums) {
    // reframe the problem
        int n = nums.length + 2;
    int[] new_nums = new int[n];

    for (int i = 0; i < nums.length; i++) {
      new_nums[i + 1] = nums[i];
    }

    new_nums[0] = new_nums[n - 1] = 1;

    int[][] memo = new int[n][n];

    return dfs(memo, new_nums, 0, n - 1);
  }

  private int dfs(int[][] memo, int[] nums, int left, int right) {
    if (left + 1 == right)    return 0;

    if (memo[left][right] > 0)    return memo[left][right];

    int ans = 0;
    for (int i = left + 1; i < right; i++) {
      ans = Math.max(ans, nums[left] * nums[i] * nums[right]
                    + dfs(memo, nums, left, i)
                    + dfs(memo, nums, i, right));
    }
    memo[left][right] = ans;
    return ans;
  }

}
```

### Approach #2 Dynamic Programming Bottom-Up

`dp[left][right] = Math.max(dp[left][right], new_nums[left] * new_nums[i] * new_nums[right] dp[left][i] + dp[i][right]);`

```java
class Solution {
  public int maxCoins(int[] nums) {
    int n = nums.length + 2;
    int[] new_nums = new int[n];

    for (int i = 0; i < nums.length; i++) {
      new_nums[i + 1] = nums[i];
    }

    new_nums[0] = new_nums[n - 1] = 1;


    int[][] dp = new int[n][n];

    for (int left = n - 2; left >= 0; left--) {
      for (int right = left + 2; right < n; right++) {
        for (int i = left + 1; i < right; i++) {
          dp[left][right] = Math.max(dp[left][right], 
                                    new_nums[left] * new_nums[i] * new_nums[right] + dp[left][i] + dp[i][right]);
        }
      }
    }
    return dp[0][n - 1];
  }
}
```


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