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/**
* You are given an array of integers stones where stones[i] is the weight of the
* iᵗʰ stone.
* <p>
* We are playing a game with the stones. On each turn, we choose any two stones
* and smash them together. Suppose the stones have weights x and y with x <= y.
* The result of this smash is:
* <p>
* <p>
* If x == y, both stones are destroyed, and
* If x != y, the stone of weight x is destroyed, and the stone of weight y has
* new weight y - x.
* <p>
* <p>
* At the end of the game, there is at most one stone left.
* <p>
* Return the smallest possible weight of the left stone. If there are no stones
* left, return 0.
* <p>
* <p>
* Example 1:
* <p>
* <p>
* Input: stones = [2,7,4,1,8,1]
* Output: 1
* Explanation:
* We can combine 2 and 4 to get 2, so the array converts to [2,7,1,8,1] then,
* we can combine 7 and 8 to get 1, so the array converts to [2,1,1,1] then,
* we can combine 2 and 1 to get 1, so the array converts to [1,1,1] then,
* we can combine 1 and 1 to get 0, so the array converts to [1], then that's the
* optimal value.
* <p>
* <p>
* Example 2:
* <p>
* <p>
* Input: stones = [31,26,33,21,40]
* Output: 5
* <p>
* <p>
* <p>
* Constraints:
* <p>
* <p>
* 1 <= stones.length <= 30
* 1 <= stones[i] <= 100
* <p>
* <p>
* Related Topics Array Dynamic Programming 👍 3100 👎 118
*/
/*
2024-07-09 20:34:47
Last Stone Weight II
Category Difficulty Likes Dislikes
algorithms Medium (55.26%) 3100 118
Tags
array | greedy
Companies
Unknown
*/
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