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
LeetCode All in One 题目讲解汇总(持续更新中…)
转载请注明来源于 Grandyang 的博客 (grandyang.com)，欢迎对文章中的引用来源进行考证，欢迎指出任何有错误或不够清晰的表达。可以在下面评论区评论，也可以邮件至 grandyang@qq.com
