题目如下:

In a country popular for train travel, you have planned some train travelling one year in advance.  The days of the year that you will travel is given as an array days.  Each day is an integer from 1 to 365.

Train tickets are sold in 3 different ways:

  • a 1-day pass is sold for costs[0] dollars;
  • a 7-day pass is sold for costs[1] dollars;
  • a 30-day pass is sold for costs[2] dollars.

The passes allow that many days of consecutive travel.  For example, if we get a 7-day pass on day 2, then we can travel for 7 days: day 2, 3, 4, 5, 6, 7, and 8.

Return the minimum number of dollars you need to travel every day in the given list of days.

Example 1:

Input: days = [1,4,6,7,8,20], costs = [2,7,15]
Output: 11
Explanation:
For example, here is one way to buy passes that lets you travel your travel plan:
On day 1, you bought a 1-day pass for costs[0] = $2, which covered day 1.
On day 3, you bought a 7-day pass for costs[1] = $7, which covered days 3, 4, ..., 9.
On day 20, you bought a 1-day pass for costs[0] = $2, which covered day 20.
In total you spent $11 and covered all the days of your travel.

Example 2:

Input: days = [1,2,3,4,5,6,7,8,9,10,30,31], costs = [2,7,15]
Output: 17
Explanation:
For example, here is one way to buy passes that lets you travel your travel plan:
On day 1, you bought a 30-day pass for costs[2] = $15 which covered days 1, 2, ..., 30.
On day 31, you bought a 1-day pass for costs[0] = $2 which covered day 31.
In total you spent $17 and covered all the days of your travel.

Note:

  1. 1 <= days.length <= 365
  2. 1 <= days[i] <= 365
  3. days is in strictly increasing order.
  4. costs.length == 3
  5. 1 <= costs[i] <= 1000

解题思路:毕竟本人动态规划没有掌握的游刃有余,一时间想不出递推表达式。那就简单粗暴吧,对于任意一个days[i]来说,都有三种买票的方法,买1天,7天和30天,借助DFS的思想依次计算每一种方法的最小值,理论上是有3^365次方种组合,但是计算过程中可以舍去明显不符合条件的组合,因此此方法也能通过。

代码如下:

class Solution(object):
def mincostTickets(self, days, costs):
"""
:type days: List[int]
:type costs: List[int]
:rtype: int
"""
res = len(days) * costs[0]
queue = [(0,0)] #(inx,cost_inx,total)
dp = [366*costs[2]] * (len(days) + 1)
while len(queue) > 0:
#print len(queue)
inx,total = queue.pop(0)
if inx == len(days):
res = min(res,total)
continue
elif total > res:
continue
if dp[inx+1] > total + costs[0]:
queue.insert(0,(inx+1, total + costs[0]))
dp[inx+1] = total + costs[0]
import bisect
next_inx = bisect.bisect_left(days,days[inx]+7)
if dp[next_inx] > total + costs[1]:
queue.insert(0,(next_inx, total + costs[1]))
next_inx = bisect.bisect_left(days, days[inx] + 30)
if dp[next_inx] > total + costs[2]:
queue.insert(0,(next_inx, total + costs[2]))
return res

【leetcode】983. Minimum Cost For Tickets的更多相关文章

  1. 【leetcode】1217. Minimum Cost to Move Chips to The Same Position

    We have n chips, where the position of the ith chip is position[i]. We need to move all the chips to ...

  2. 【LeetCode】1167. Minimum Cost to Connect Sticks 解题报告 (C++)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客:http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 小根堆 日期 题目地址:https://leetcod ...

  3. 【LeetCode】857. Minimum Cost to Hire K Workers 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址: https://leetcode.com/problems/minimum- ...

  4. 【leetcode】963. Minimum Area Rectangle II

    题目如下: Given a set of points in the xy-plane, determine the minimum area of any rectangle formed from ...

  5. 【LeetCode】452. Minimum Number of Arrows to Burst Balloons 解题报告(Python)

    [LeetCode]452. Minimum Number of Arrows to Burst Balloons 解题报告(Python) 标签(空格分隔): LeetCode 题目地址:https ...

  6. 【leetcode】712. Minimum ASCII Delete Sum for Two Strings

    题目如下: 解题思路:本题和[leetcode]583. Delete Operation for Two Strings 类似,区别在于word1[i] != word2[j]的时候,是删除word ...

  7. LeetCode 983. Minimum Cost For Tickets

    原题链接在这里:https://leetcode.com/problems/minimum-cost-for-tickets/ 题目: In a country popular for train t ...

  8. 【LeetCode】Find Minimum in Rotated Sorted Array 解题报告

    今天看到LeetCode OJ题目下方多了"Show Tags"功能.我觉着挺好,方便刚開始学习的人分类练习.同一时候也是解题时的思路提示. [题目] Suppose a sort ...

  9. 【LeetCode】746. Min Cost Climbing Stairs 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 动态规划 日期 题目地址:https://leetc ...

随机推荐

  1. Python中使用"subplot"在一张画布上显示多张图

    subplot(arg1, arg2, arg3) arg1: 在垂直方向同时画几张图 arg2: 在水平方向同时画几张图 arg3: 当前命令修改的是第几张图 t = np.arange(0,5,0 ...

  2. 每天一个linux命令:less(14)

    less less命令的作用与more十分相似,都可以用来浏览文字档案的内容,less 在查看之前不会加载整个文件 .用less命令显示文件时,用PageUp键向上翻页,用PageDown键向下翻页. ...

  3. JS中数据结构之散列表

    散列是一种常用的数据存储技术,散列后的数据可以快速地插入或取用.散列使用的数据 结构叫做散列表.在散列表上插入.删除和取用数据都非常快. 下面的散列表是基于数组进行设计的,数组的长度是预先设定的,如有 ...

  4. 【Linux】【Kibana】解决Kibana启动失败:Data too large问题

    今天重启Kibana容器,结果启动不了,一看日志发现是Data数据量太大报错. FATAL [circuit_breaking_exception] [parent] Data too large, ...

  5. window server 2008 r2 安装ftp

    一.安装ftp服务 1.在服务管理器“角色”右键单击“添加角色”.  2.下一步. 3.勾选“Web 服务器(IIS)”,下一步. 4.勾选“FTP 服务器”,下一步. 5.安装完成,点击“关闭”.  ...

  6. 左手Mongodb右手Redis 通过python连接mongodb

    首先需要安装第三方包pymongo pip install pymongodb """ 通过python连接mongodb数据库 首先需要初始化数据库连接 "& ...

  7. MySQL常用的一些语句,索引,字段等

    1.库相关:建库:character set:指定编码COLLATE:排序规则 utf8mb4_general_ci 大小写不敏感CREATE DATABASE `test_db` default c ...

  8. CPUID

    http://en.wikipedia.org/wiki/CPUID CPUID From Wikipedia, the free encyclopedia    The CPUID opcode i ...

  9. Ionic4 入门

    1.搭建环境 1.电脑安装node.js,安装后电脑会自动安装npm     2.通过cmd命令,安装cnpm npm install -g cnpm -registry=https://regist ...

  10. CentOS安装系统时硬盘分区建议

      一.常见挂载点的情况说明一般来说,在linux系统中都有最少两个挂载点,分别是/ (根目录)及 swap(交换分区),其中,/ 是必须的: 详细内容见下文: 安装系统时选择creat custom ...