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https://github.com/halfrost/LeetCode-Go.git
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添加 problem 1049
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package leetcode
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func lastStoneWeightII(stones []int) int {
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sum := 0
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for _, v := range stones {
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sum += v
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}
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n, C, dp := len(stones), sum/2, make([]int, sum/2+1)
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for i := 0; i <= C; i++ {
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if stones[0] <= i {
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dp[i] = stones[0]
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} else {
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dp[i] = 0
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}
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}
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for i := 1; i < n; i++ {
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for j := C; j >= stones[i]; j-- {
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dp[j] = max(dp[j], dp[j-stones[i]]+stones[i])
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}
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}
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return sum - 2*dp[C]
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}
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package leetcode
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import (
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"fmt"
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"testing"
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)
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type question1049 struct {
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para1049
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ans1049
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}
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// para 是参数
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// one 代表第一个参数
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type para1049 struct {
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one []int
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}
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// ans 是答案
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// one 代表第一个答案
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type ans1049 struct {
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one int
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}
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func Test_Problem1049(t *testing.T) {
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qs := []question1049{
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question1049{
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para1049{[]int{2, 7, 4, 1, 8, 1}},
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ans1049{1},
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},
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question1049{
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para1049{[]int{21, 26, 31, 33, 40}},
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ans1049{5},
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},
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question1049{
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para1049{[]int{1, 2}},
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ans1049{1},
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},
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}
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fmt.Printf("------------------------Leetcode Problem 1049------------------------\n")
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for _, q := range qs {
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_, p := q.ans1049, q.para1049
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fmt.Printf("【input】:%v 【output】:%v\n", p, lastStoneWeightII(p.one))
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}
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fmt.Printf("\n\n\n")
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}
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49
Algorithms/1049. Last Stone Weight II/README.md
Executable file
49
Algorithms/1049. Last Stone Weight II/README.md
Executable file
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# [1049. Last Stone Weight II](https://leetcode.com/problems/last-stone-weight-ii/)
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## 题目:
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We have a collection of rocks, each rock has a positive integer weight.
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Each turn, we choose **any two rocks** and smash them together. Suppose the stones have weights `x` and `y` with `x <= y`. The result of this smash is:
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- If `x == y`, both stones are totally destroyed;
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- If `x != y`, the stone of weight `x` is totally destroyed, and the stone of weight `y`has new weight `y-x`.
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At the end, there is at most 1 stone left. Return the **smallest possible** weight of this stone (the weight is 0 if there are no stones left.)
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**Example 1:**
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Input: [2,7,4,1,8,1]
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Output: 1
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Explanation:
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We can combine 2 and 4 to get 2 so the array converts to [2,7,1,8,1] then,
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we can combine 7 and 8 to get 1 so the array converts to [2,1,1,1] then,
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we can combine 2 and 1 to get 1 so the array converts to [1,1,1] then,
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we can combine 1 and 1 to get 0 so the array converts to [1] then that's the optimal value.
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**Note:**
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1. `1 <= stones.length <= 30`
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2. `1 <= stones[i] <= 100`
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## 题目大意
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有一堆石头,每块石头的重量都是正整数。每一回合,从中选出任意两块石头,然后将它们一起粉碎。假设石头的重量分别为 x 和 y,且 x <= y。那么粉碎的可能结果如下:
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如果 x == y,那么两块石头都会被完全粉碎;
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如果 x != y,那么重量为 x 的石头将会完全粉碎,而重量为 y 的石头新重量为 y-x。
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最后,最多只会剩下一块石头。返回此石头最小的可能重量。如果没有石头剩下,就返回 0。
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提示:
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1. 1 <= stones.length <= 30
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2. 1 <= stones[i] <= 1000
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## 解题思路
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- 给出一个数组,数组里面的元素代表的是石头的重量。现在要求两个石头对碰,如果重量相同,两个石头都消失,如果一个重一个轻,剩下的石头是两者的差值。问经过这样的多次碰撞以后,能剩下的石头的重量最轻是多少?
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- 由于两两石头要发生碰撞,所以可以将整个数组可以分为两部分,如果这两部分的石头重量总和相差不大,那么经过若干次碰撞以后,剩下的石头重量一定是最小的。现在就需要找到这样两堆总重量差不多的两堆石头。这个问题就可以转化为 01 背包问题。从数组中找到 `sum/2` 重量的石头集合,如果一半能尽量达到 `sum/2`,那么另外一半和 `sum/2` 的差是最小的,最好的情况就是两堆石头的重量都是 `sum/2`,那么两两石头对碰以后最后都能消失。01 背包的经典模板可以参考第 416 题。
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