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frankcbliu
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//给定一个正整数 n ,将其拆分为 k 个 正整数 的和( k >= 2 ),并使这些整数的乘积最大化。
//
// 返回 你可以获得的最大乘积 。
//
//
//
// 示例 1:
//
//
//输入: n = 2
//输出: 1
//解释: 2 = 1 + 1, 1 × 1 = 1。
//
// 示例 2:
//
//
//输入: n = 10
//输出: 36
//解释: 10 = 3 + 3 + 4, 3 × 3 × 4 = 36。
//
//
//
// 提示:
//
//
// 2 <= n <= 58
//
//
// Related Topics 数学 动态规划 👍 1233 👎 0
#include "headers.h"
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
public:
int integerBreak(int n) {
// 拆成多个,那么其实一定先可以拆成 2 个
// i 拆成 j 和 i-j, 那么要考虑 i-j 是否继续拆
// dp[i] = max(j*(i-j), j*dp[i-j]),
vector<int> dp(n + 1, 0);
dp[1] = 1;
dp[2] = 1;
for (int i = 3; i <= n; ++i) {
int m = i / 2;
for (int j = 1; j <= m; ++j) {
dp[i] = max(dp[i], max((i - j) * j, dp[i - j] * j));
}
}
return dp[n];
}
int integerBreak2(int n) {
vector<int> dp(n + 1, 0);
// 1. dp[i]: 拆分正整数i, 能得到的最大乘积
// 2. dp[i] = max(dp[i], max(j*(i-j), j*dp[i-j]))
// 单独解释: max(j*(i-j), j*dp[i-j])
// - 拆成两个整数: j, i-j
// - 拆成多个整数: j, dp[i-j] (即对 i-j 进行拆分), 这里至少 >= 3
// 3. 初始化
// dp[2] = 1
dp[2] = 1;
for (int i = 3; i <= n; ++i) {
for (int j = 1; j < i - 1; ++j) {
dp[i] = max(dp[i], max(j * (i - j), j * dp[i - j]));
}
}
return dp[n];
}
};
//leetcode submit region end(Prohibit modification and deletion)
int main() {
Solution s;
cout << s.integerBreak(10);
}
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