0/1背包
物品是nums[i],重量是nums[i],价值也是nums[i],背包体积是sum/2
class Solution {
public:
bool canPartition(vector<int>& nums) {
int n = nums.size();
if (n < 2) return false;
int sum = 0, Max = 0;
for (int i = 0; i < n; i++) {
sum += nums[i];
Max = max(Max, nums[i]);
}
int target = sum / 2;
if (sum % 2 == 1 || Max > target) return false;
vector<vector<int>> dp(n, vector<int>(target + 1, 0));
// 初始化
for (int j = nums[0]; j <= target; j++)
dp[0][j] = nums[0];
for (int i = 1; i < n; i++) {
for (int j = 1; j <= target; j++) {
if (j >= nums[i])
dp[i][j] = max(dp[i - 1][j], dp[i - 1][j - nums[i]] + nums[i]);
else
dp[i][j] = dp[i - 1][j];
}
}
if (dp[n -1][target] == target)
return true;
else
return false;
}
};
空间优化(滚动数组)
class Solution {
public:
bool canPartition(vector<int>& nums) {
int n = nums.size();
if (n < 2) return false;
int sum = 0, Max = 0;
for (int i = 0; i < n; i++) {
sum += nums[i];
Max = max(Max, nums[i]);
}
int target = sum / 2;
if (sum % 2 == 1 || Max > target) return false;
vector<int> dp(target + 1, 0);
// 初始化
for (int i = 0; i < n; i++) {
for (int j = target; j >= nums[i]; j--) {
dp[j] = max(dp[j], dp[j - nums[i]] + nums[i]);
}
}
if (dp[target] == target)
return true;
else
return false;
}
};