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:
(1) You may imagine
(2) 0 ≤
(1) You may imagine
nums[-1] = nums[n] = 1. They are not real therefore you can not burst them.(2) 0 ≤
n ≤ 500, 0 ≤ nums[i] ≤ 100
Example:
Given
[3, 1, 5, 8]
Return
167nums = [3,1,5,8] --> [3,5,8] --> [3,8] --> [8] --> [] coins = 3*1*5 + 3*5*8 + 1*3*8 + 1*8*1 = 167
I had some problem understanding the DP formula. In this problem, dp[i][j] represents the maximum coins we can get by bursting balloons in subarray starting from i, ending from j, inclusively. Now we know that for every point x within dp[i][j], we can calculate dp[i][x - 1] and dp[x + 1][j] from previous calculation. The only question is the coins of bursting x. The formula is :
dp[i][j] = Math.max(dp[i][j], dp[i][x - 1] + nums[i - 1]*nums[x]*nums[j + 1] + dp[x + 1][j])
What confuses me is that why the number of coins is nums[i - 1]*nums[x]*nums[j + 1]? What if there are more than 3 balloons between i and j?
The correct way to understand is x represents the last balloon to burst in subarray from i to j that leads to the maximum coins. Since all other balloons between i and j have already been bursted, i, x, and j are adjacent to each other.
Now everything becomes clearer.
public int maxCoins(int[] iNums) {
int n = iNums.length;
int[] nums = new int[n + 2];
for (int i = 0; i < n; i++) nums[i + 1] = iNums[i];
nums[0] = nums[n + 1] = 1;
int[][] dp = new int[n + 2][n + 2];
//subarray of len = k
for (int k = 1; k <= n; k++) {
//start
for (int i = 1; i <= n - k + 1; i++) {
//end
int j = i + k - 1;
//the last balloon to burst that can get the maximum coins.
for (int x = i; x <= j; x++) {
dp[i][j] = Math.max(dp[i][j], dp[i][x - 1] + nums[i - 1] * nums[x] * nums[j + 1] + dp[x + 1][j]);
}
}
}
return dp[1][n];
}
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