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1049-LastStoneWeightII.go
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95 lines (83 loc) · 2.94 KB
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package main
// 1049. Last Stone Weight II
// You are given an array of integers stones where stones[i] is the weight of the ith stone.
// 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:
// 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.
// At the end of the game, there is at most one stone left.
// Return the smallest possible weight of the left stone. If there are no stones left, return 0.
// Example 1:
// 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.
// Example 2:
// Input: stones = [31,26,33,21,40]
// Output: 5
// Constraints:
// 1 <= stones.length <= 30
// 1 <= stones[i] <= 100
import "fmt"
func lastStoneWeightII(stones []int) int {
if len(stones) == 1 {
return stones[0]
}
sum, dp := 0,make([]bool, 1501)
dp[0] = true
min := func (x, y int) int { if x < y { return x; }; return y; }
for _, v := range stones {
sum += v
for i := min(1500, sum); i >= v; i-- {
dp[i] = dp[i] || dp[i - v]
}
}
for i := sum / 2; i > 0; i-- {
if dp[i] {
return sum - i - i
}
}
return 0
}
func lastStoneWeightII1(stones []int) int {
sum := 0
for _, v := range stones{
sum += v
}
target := sum / 2
dp := make([]int,target+1)
for _, v := range stones {
for j := target ;j >= v; j-- {
if dp[j] < dp[j - v] + v {
dp[j] = dp[j - v] + v
}
}
}
res := (target - dp[target])*2
if sum % 2 == 1 {
res++
}
return res
}
func main() {
// Example 1:
// 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.
fmt.Println(lastStoneWeightII([]int{2,7,4,1,8,1})) // 1
// Example 2:
// Input: stones = [31,26,33,21,40]
// Output: 5
fmt.Println(lastStoneWeightII([]int{31,26,33,21,40})) // 5
fmt.Println(lastStoneWeightII([]int{91})) // 91
fmt.Println(lastStoneWeightII1([]int{2,7,4,1,8,1})) // 1
fmt.Println(lastStoneWeightII1([]int{31,26,33,21,40})) // 5
fmt.Println(lastStoneWeightII1([]int{91})) // 91
}