
二维dp数组
class Solution {
public:
bool canPartition(vector<int>& nums) {
int sum = 0;
for (int i = 0; i < nums.size(); i++) {
sum += nums[i];
}
if (sum % 2 != 0) return false;
int bagweight = sum / 2;
vector<vector<int> > dp(nums.size(), vector<int>(bagweight + 1, 0));
for (int j = nums[0]; j <= bagweight; j++) {
dp[0][j] = nums[0];
}
for (int i = 1; i < nums.size(); i++) {
for (int j = 0; j <= bagweight; j++) {
if (j < nums[i]) dp[i][j] = dp[i - 1][j];
else dp[i][j] = max(dp[i - 1][j], dp[i - 1][j - nums[i]] + nums[i]);
}
}
if (dp[nums.size() - 1][bagweight] == bagweight) return true;
return false;
}
};
一维dp数组
class Solution {
public:
bool canPartition(vector<int>& nums) {
int sum = 0;
for (int i = 0; i < nums.size(); i++) {
sum += nums[i];
}
if (sum % 2 != 0) return false;
int bagweight = sum / 2;
vector<int> dp(bagweight + 1, 0);
for (int j = nums[0]; j <= bagweight; j++) {
dp[j] = nums[0];
}
for (int i = 1; i < nums.size(); i++) {
for (int j = bagweight; j >= nums[i]; j--) {
dp[j] = max(dp[j], dp[j - nums[i]] + nums[i]);
}
}
if (dp[bagweight] == bagweight) return true;
return false;
}
};