Description
You are given an integer array nums
. You want to maximize the number of points you get by performing the following operation any number of times:
- Pick any
nums[i]
and delete it to earnnums[i]
points. Afterwards, you must delete every element equal tonums[i] - 1
and every element equal tonums[i] + 1
.
Return the maximum number of points you can earn by applying the above operation some number of times.
Example 1:
Input: nums = [3,4,2] Output: 6 Explanation: You can perform the following operations:
- Delete 4 to earn 4 points. Consequently, 3 is also deleted. nums = [2].
- Delete 2 to earn 2 points. nums = []. You earn a total of 6 points.
Example 2:
Input: nums = [2,2,3,3,3,4] Output: 9 Explanation: You can perform the following operations:
- Delete a 3 to earn 3 points. All 2’s and 4’s are also deleted. nums = [3,3].
- Delete a 3 again to earn 3 points. nums = [3].
- Delete a 3 once more to earn 3 points. nums = []. You earn a total of 9 points.
Constraints:
1 <= nums.length <= 2 * 104
1 <= nums[i] <= 104
Code
DP
同 House Robber。
Denote 10004
as .
Time Complexity: , Space Complexity:
class Solution {
public:
int deleteAndEarn(vector<int>& nums) {
int n = 10001;
int values[n];
memset(values, 0, sizeof(values));
for(int i = 0; i < nums.size(); i++) {
values[nums[i]] += nums[i];
}
int dp[n];
memset(dp, 0, sizeof(dp));
dp[0] = values[0];
dp[1] = values[1];
for(int i = 2; i < n; i++) {
dp[i] = max(dp[i - 2] + values[i], dp[i-1]);
}
return dp[n - 1];
}
};
DP-Optimized
Time Complexity: , Space Complexity:
dp[i]
only depends on dp[i-1] & dp[i-2]
, so we can use only three variables a, b, c
, corresponds to dp[i-2], dp[i-1], dp[i]
.
class Solution {
public:
int deleteAndEarn(vector<int>& nums) {
int n = 10001;
int values[n];
memset(values, 0, sizeof(values));
for(int i = 0; i < nums.size(); i++) {
values[nums[i]] += nums[i];
}
int a = values[0];
int b = values[1];
for(int i = 2; i < n; i++) {
int c = max(a + values[i], b);
a = b;
b = c;
}
return b;
}
};