LeetCode Weekly Contest 82: Most Profit Assigning Work
阿新 • • 發佈:2019-02-19
We have jobs: difficulty[i] is the difficulty of the ith job, and profit[i] is the profit of the ith job.
Now we have some workers. worker[i] is the ability of the ith worker, which means that this worker can only complete a job with difficulty at most worker[i].
Every worker can be assigned at most one job, but one job can be completed multiple times.
For example, if 3 people attempt the same job that pays
What is the most profit we can make?
Example 1:
Input: difficulty = [2,4,6,8,10], profit = [10,20,30,40,50], worker = [4,5,6,7]
Output: 100
Explanation: Workers are assigned jobs of difficulty [4,4,6,6] and they get profit of [20,20,30,30] seperately.
Notes:
- 1 <= difficulty.length = profit.length <= 10000
- 1 <= worker.length <= 10000
- difficulty[i], profit[i], worker[i] are in range [1, 10^5]
Solution 1
// by JOHNKRAM
class Solution {
public:
int maxProfitAssignment(vector<int>& difficulty, vector<int>& profit, vector <int>& worker) {
int a[100005],n=difficulty.size(),m=worker.size(),ans=0,i;
memset(a,0,sizeof(a));
for(i=0;i<n;i++)
a[difficulty[i]]=max(a[difficulty[i]],profit[i]); // 每種難度只保留最大利潤值
for(i=1;i<=100000;i++)
a[i]=max(a[i],a[i-1]); // 若低難度有更大利潤,則更新高難度的利潤
for(i=0;i<m;i++)
ans+=a[worker[i]]; // 求和即得結果
return ans;
}
};