【每日一题-LC455】分发饼干
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 g[i], which is the minimum size of a cookie that the child will be content with; and each cookie j has a size s[j]. If s[j] >= g[i], 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.
Example 1:
Input: g = [1,2,3], s = [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: g = [1,2], s = [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.
[Python3 code]
# 先对g, s两个数组进行排序
# 贪心算法
# 贪心思想1 优先满足需求因子较小的孩子。因为如果较小需求的孩子无法被满足,则之后的较大的需求更不可能能被满足了。
#贪心思想2 尽量用较小的糖果去优先满足孩子。
class Solution:
def findContentChildren(self, g, s):
"""
:type g: List[int]
:type s: List[int]
:rtype: int
"""
g.sort() # 对需求因子进行排序,从小到大
s.sort() # 对糖果数组进行排序,从小到大
child = 0 # 记录可以被满足孩子数
cookie = 0 # 记录可以满足的糖果数
while child <len(g) and cookie < len(s):
if g[child] <= s[cookie]:
child += 1
cookie += 1
return child复杂度分析
O(NlogN)+O(MlogM) where M=|s|, N=|g|