Assume you are an awesome parent and want to give your children some cookies. But, you should give each child at most one cookie. Each child i has a greed factor gi, which is the minimum size of a cookie that the child will be content with; and each cookie j has a size sj. If sj >= gi, we can assign the cookie j to the child i, and the child i will be content. Your goal is to maximize the number of your content children and output the maximum number.
Note:
You may assume the greed factor is always positive.
You cannot assign more than one cookie to one child.
Example 1:
Input: [1,2,3], [1,1] Output: 1 Explanation: You have 3 children and 2 cookies. The greed factors of 3 children are 1, 2, 3. And even though you have 2 cookies, since their size is both 1, you could only make the child whose greed factor is 1 content. You need to output 1.
Example 2:
Input: [1,2], [1,2,3] Output: 2 Explanation: You have 2 children and 3 cookies. The greed factors of 2 children are 1, 2. You have 3 cookies and their sizes are big enough to gratify all of the children, You need to output 2.
这道题给了我们一堆cookie,每个cookie的大小不同,还有一堆小朋友,每个小朋友的胃口也不同的,问我们当前的cookie最多能满足几个小朋友。这是典型的利用贪婪算法的题目,我们可以首先对两个数组进行排序,让小的在前面。然后我们先拿最小的cookie给胃口最小的小朋友,看能否满足,能的话,我们结果res自加1,然后再拿下一个cookie去满足下一位小朋友;如果当前cookie不能满足当前小朋友,那么我们就用下一块稍大一点的cookie去尝试满足当前的小朋友。当cookie发完了或者小朋友没有了我们停止遍历,参见代码如下:
解法一:
class Solution { public: int findContentChildren(vector<int>& g, vector<int>& s) { int res = 0, p = 0; sort(g.begin(), g.end()); sort(s.begin(), s.end()); for (int i = 0; i < s.size(); ++i) { if (s[i] >= g[p]) { ++res; ++p; if (p >= g.size()) break; } } return res; } };
我们可以对上述代码进行精简,我们用变量j既可以表示小朋友数组的坐标,同时又可以表示已满足的小朋友的个数,因为只有满足了当前的小朋友,才会去满足下一个胃口较大的小朋友,参见代码如下:
解法二:
class Solution { public: int findContentChildren(vector<int>& g, vector<int>& s) { int j = 0; sort(g.begin(), g.end()); sort(s.begin(), s.end()); for (int i = 0; i < s.size() && j < g.size(); ++i) { if (s[i] >= g[j]) ++j; } return j; } };
参考资料:
https://discuss.leetcode.com/topic/67676/simple-greedy-java-solution