LeetCode 502.IPO

LeetCode即将进行IPO,为提高股价,需要在上市前完成最多k个项目的开发来增加资本。给定每个项目的纯利润和最低启动资本,以及初始资本W,目标是选择项目以最大化最终资本。解题策略是使用小顶堆选择启动资本最小的项目,并用大顶堆确保选择利润最大的项目。

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502.IPO

Suppose LeetCode will start its IPO soon. In order to sell a good price of its shares to Venture Capital, LeetCode would like to work on some projects to increase its capital before the IPO. Since it has limited resources, it can only finish at most k distinct projects before the IPO. Help LeetCode design the best way to maximize its total capital after finishing at most k distinct projects.

You are given several projects. For each project i, it has a pure profit Pi and a minimum capital of Ci is needed to start the corresponding project. Initially, you have W capital. When you finish a project, you will obtain its pure profit and the profit will be added to your total capital.

To sum up, pick a list of at most k distinct projects from given projects to maximize your final capital, and output your final maximized capital.

Example 1:
Input: k=2, W=0, Profits=[1,2,3], Capital=[0,1,1].

Output: 4

Explanation: Since your initial capital is 0, you can only start the project indexed 0.
After finishing it you will obtain profit 1 and your capital becomes 1.
With capital 1, you can either start the project indexed 1 or the project indexed 2.
Since you can choose at most 2 projects, you need to finish the project indexed 2 to get the maximum capital.
Therefore, output the final maximized capital, which is 0 + 1 + 3 = 4.
Note:
You may assume all numbers in the input are non-negative integers.
The length of Profits array and Capital array will not exceed 50,000.
The answer is guaranteed to fit in a 32-bit signed integer.

Approach

题目大意:给出每个项目的利润profits[i]和所需的资本值Capital[i]、最多能做k个项目和初始的资本值W,求得最大利润。
解题思路:用一个小顶堆装所有项目,堆顶是资本值最小的项目,然后将能做的项目放入到大顶堆,堆顶是利润最大的,最贪心地获取最大利润。

Code

class Solution {
public:
    int findMaximizedCapital(int k, int W, vector<int> &Profits, vector<int> &Capital) {
       priority_queue<pair<int, int>, vector<pair<int, int>>, greater<pair<int, int>>> minh;
        priority_queue<pair<int, int>> maxh;
        int n = Capital.size();
        for (int i = 0; i < n; ++i) {
            minh.push(pair<int, int>(Capital[i], Profits[i]));
        }
        while (k--) {
            while (!minh.empty() && minh.top().first <= W) {
                maxh.push(make_pair(minh.top().second, minh.top().first));
                minh.pop();
            }
            if (maxh.empty())break;
            W += maxh.top().first;
            maxh.pop();
        }
        return W;
    }
};

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