zoukankan      html  css  js  c++  java
  • 【leetcode】1283. Find the Smallest Divisor Given a Threshold

    题目如下:

    Given an array of integers nums and an integer threshold, we will choose a positive integer divisor and divide all the array by it and sum the result of the division. Find the smallest divisor such that the result mentioned above is less than or equal to threshold.

    Each result of division is rounded to the nearest integer greater than or equal to that element. (For example: 7/3 = 3 and 10/2 = 5).

    It is guaranteed that there will be an answer.

    Example 1:

    Input: nums = [1,2,5,9], threshold = 6
    Output: 5
    Explanation: We can get a sum to 17 (1+2+5+9) if the divisor is 1. 
    If the divisor is 4 we can get a sum to 7 (1+1+2+3) and if the divisor is 5 the sum will be 5 (1+1+1+2). 
    

    Example 2:

    Input: nums = [2,3,5,7,11], threshold = 11
    Output: 3
    

    Example 3:

    Input: nums = [19], threshold = 5
    Output: 4

    Constraints:

    • 1 <= nums.length <= 5 * 10^4
    • 1 <= nums[i] <= 10^6
    • nums.length <= threshold <= 10^6

    解题思路:除数越大,计算出来的和越小,因此可以使用二分查找法。

    代码如下:

    class Solution(object):
        def smallestDivisor(self, nums, threshold):
            """
            :type nums: List[int]
            :type threshold: int
            :rtype: int
            """
            res = 0
            low,high = 1,1000000
            while low <= high:
                mid = (low + high)/2
                count = 0
                for i in nums:
                    count += (i/mid)
                    if i%mid != 0:count += 1
                if count <= threshold:
                    res = mid
                    high = mid - 1
                else:
                    low = mid + 1
            return res
  • 相关阅读:
    音频重采样48kk转16k
    ld: symbol(s) not found for architecture x86_64问题解决
    麦克风啸叫抑制解决方案之移频法
    gcc makefile 模板
    mysql 分组加序号
    java微信公众号JSAPI支付以及所遇到的坑
    appium新手入门(1)—— appium介绍
    一次完整的JVM堆外内存泄漏故障排查记录
    mysql 批量更改表名
    爬虫技术
  • 原文地址:https://www.cnblogs.com/seyjs/p/12026288.html
Copyright © 2011-2022 走看看