LeetCode | 740. Delete and Earn
2017-12-11 15:10
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Given an array
perform operations on the array.
In each operation, you pick any
delete it to earn
equal to
You start with 0 points. Return the maximum number of points you can earn by applying such operations.
Example 1:
Example 2:
Note:
The length of
简单来说就是不断的取一个数,将数组中比这个数大一和小一的数全部删除,看最后得到的数的和,毫无疑问,这题使用DP来解决,不过我看网上的标准答案有BUG,题目并没有说数组中的数是连续的,而网上的标准答案默认了数组中的数是连续的,和容易就能举出不连续数组的反例,
通过这道题我收获了几个技巧,其一是以后在解决这样的题目的时候,对于同一个数多次出现的题,可以设定一个数组,num
用来记录n出现的次数,或者是n出现次数的和,
以后在解dp的题目的时候可能dp
,当n大于某个数的时候dp才有效,因此可以先把dp[1-n]先自己求出,当做特殊情况处理,然后在用公式解决n之后的值的dp
Sort(a.begin(),a.end())这个是对vector使用sort的技巧
class Solution {
#include <algorithm>
public:
int deleteAndEarn(vector<int>&nums) {
sort(nums.begin(), nums.end());
vector <int> numIndex; int j = 0;
vector <int> numCount;
int dp[20000];
if (nums.size() == 0) return 0;
for (int i = 0; i < nums.size(); i++)
{
if (nums[i] != nums[j]) {
numIndex.push_back(j);
numCount.push_back(nums[j] *(i - j));
j = i;
}
}
numIndex.push_back(j);
numCount.push_back(nums[j] * (nums.size() -j));
dp[0] = numCount[0];
if (numCount.size() == 1) return dp[0];
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[1] = max(numCount[0],numCount[1]);
}
else
{
dp[1] =numCount[0]+numCount[1];
}
if (numCount.size() == 2) return dp[1];
if (abs(nums[numIndex[2]] -nums[numIndex[1]]) == 1)
{
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[2] = max(numCount[0] +numCount[2],numCount[1]);
}
else
{
dp[2] = max(numCount[0] + numCount[1],numCount[0]+ numCount[2]);
}
}
else
{
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[2] = max(numCount[0] +numCount[2], numCount[1] + numCount[2]);
}
else
{
dp[2] = numCount[0] +numCount[1] + numCount[2];
}
}
if (numCount.size() == 3) return dp[2];
int maxNum = max(max(dp[0], dp[1]),dp[2]);
for (int i = 3; i < numIndex.size();i++)
{
if (abs(nums[numIndex[i]] -nums[numIndex[i - 1]]) == 1)
{
dp[i] = max(dp[i - 3] +numCount[i], dp[i - 2] + numCount[i]);
}
else
{
if (abs(nums[numIndex[i - 1]]- nums[numIndex[i - 2]]) == 1)
{
dp[i] = max(dp[i - 2] +numCount[i], dp[i - 1] + numCount[i]);
}
else
{
dp[i] = dp[i - 1] +numCount[i];
}
}
if (dp[i] > maxNum) maxNum =dp[i];
}
return maxNum;
}
int max(int a,int b)
{
return a<b?b:a;
}
};
4000
numsof integers, you can
perform operations on the array.
In each operation, you pick any
nums[i]and
delete it to earn
nums[i]points. After, you must delete every element
equal to
nums[i] - 1or
nums[i] + 1.
You start with 0 points. Return the maximum number of points you can earn by applying such operations.
Example 1:
Input: nums = [3, 4, 2] Output: 6 Explanation: Delete 4 to earn 4 points, consequently 3 is also deleted. Then, delete 2 to earn 2 points. 6 total points are earned.
Example 2:
Input: nums = [2, 2, 3, 3, 3, 4] Output: 9 Explanation: Delete 3 to earn 3 points, deleting both 2's and the 4. Then, delete 3 again to earn 3 points, and 3 again to earn 3 points. 9 total points are earned.
Note:
The length of
numsis at most
20000.Each element
nums[i]is an integer in the range
[1, 10000].
简单来说就是不断的取一个数,将数组中比这个数大一和小一的数全部删除,看最后得到的数的和,毫无疑问,这题使用DP来解决,不过我看网上的标准答案有BUG,题目并没有说数组中的数是连续的,而网上的标准答案默认了数组中的数是连续的,和容易就能举出不连续数组的反例,
通过这道题我收获了几个技巧,其一是以后在解决这样的题目的时候,对于同一个数多次出现的题,可以设定一个数组,num
用来记录n出现的次数,或者是n出现次数的和,
以后在解dp的题目的时候可能dp
,当n大于某个数的时候dp才有效,因此可以先把dp[1-n]先自己求出,当做特殊情况处理,然后在用公式解决n之后的值的dp
Sort(a.begin(),a.end())这个是对vector使用sort的技巧
class Solution {
#include <algorithm>
public:
int deleteAndEarn(vector<int>&nums) {
sort(nums.begin(), nums.end());
vector <int> numIndex; int j = 0;
vector <int> numCount;
int dp[20000];
if (nums.size() == 0) return 0;
for (int i = 0; i < nums.size(); i++)
{
if (nums[i] != nums[j]) {
numIndex.push_back(j);
numCount.push_back(nums[j] *(i - j));
j = i;
}
}
numIndex.push_back(j);
numCount.push_back(nums[j] * (nums.size() -j));
dp[0] = numCount[0];
if (numCount.size() == 1) return dp[0];
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[1] = max(numCount[0],numCount[1]);
}
else
{
dp[1] =numCount[0]+numCount[1];
}
if (numCount.size() == 2) return dp[1];
if (abs(nums[numIndex[2]] -nums[numIndex[1]]) == 1)
{
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[2] = max(numCount[0] +numCount[2],numCount[1]);
}
else
{
dp[2] = max(numCount[0] + numCount[1],numCount[0]+ numCount[2]);
}
}
else
{
if (abs(nums[numIndex[1]] -nums[numIndex[0]]) == 1)
{
dp[2] = max(numCount[0] +numCount[2], numCount[1] + numCount[2]);
}
else
{
dp[2] = numCount[0] +numCount[1] + numCount[2];
}
}
if (numCount.size() == 3) return dp[2];
int maxNum = max(max(dp[0], dp[1]),dp[2]);
for (int i = 3; i < numIndex.size();i++)
{
if (abs(nums[numIndex[i]] -nums[numIndex[i - 1]]) == 1)
{
dp[i] = max(dp[i - 3] +numCount[i], dp[i - 2] + numCount[i]);
}
else
{
if (abs(nums[numIndex[i - 1]]- nums[numIndex[i - 2]]) == 1)
{
dp[i] = max(dp[i - 2] +numCount[i], dp[i - 1] + numCount[i]);
}
else
{
dp[i] = dp[i - 1] +numCount[i];
}
}
if (dp[i] > maxNum) maxNum =dp[i];
}
return maxNum;
}
int max(int a,int b)
{
return a<b?b:a;
}
};
4000
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