终于开始写dp了,还很不熟练

It is a little known fact that cows love apples. Farmer John has two apple trees (which are conveniently numbered 1 and 2) in his field, each full of apples. Bessie cannot reach the apples when they are on the tree, so she must wait for them to fall. However, she must catch them in the air since the apples bruise when they hit the ground (and no one wants to eat bruised apples). Bessie is a quick eater, so an apple she does catch is eaten in just a few seconds.

Each minute, one of the two apple trees drops an apple. Bessie, having much practice, can catch an apple if she is standing under a tree from which one falls. While Bessie can walk between the two trees quickly (in much less than a minute), she can stand under only one tree at any time. Moreover, cows do not get a lot of exercise, so she is not willing to walk back and forth between the trees endlessly (and thus misses some apples).

Apples fall (one each minute) for T (1 <= T <= 1,000) minutes. Bessie is willing to walk back and forth at most W (1 <= W <= 30) times. Given which tree will drop an apple each minute, determine the maximum number of apples which Bessie can catch. Bessie starts at tree 1.

Input

* Line 1: Two space separated integers: T and W

* Lines 2..T+1: 1 or 2: the tree that will drop an apple each minute.

Output

* Line 1: The maximum number of apples Bessie can catch without walking more than W times.

Sample Input

7 2
2
1
1
2
2
1
1

Sample Output

6

Hint

INPUT DETAILS:

Seven apples fall - one from tree 2, then two in a row from tree 1, then two in a row from tree 2, then two in a row from tree 1. Bessie is willing to walk from one tree to the other twice.

OUTPUT DETAILS:

Bessie can catch six apples by staying under tree 1 until the first two have dropped, then moving to tree 2 for the next two, then returning back to tree 1 for the final two.

 
分析:状态:dp[i][j]表示在第i分钟时,已经移动了j次后得到的苹果数量。
状态转移方程:dp[i][j] = max(dp[i-1][j], dp[i-1][j-1]),然后判断当前是否在第i分钟掉苹果的那颗树下,是的话,dp[i][j]++。
对状态转移方程的解释如下:第i分钟能得到的苹果数量,等于在第i-1分钟时,在树1和树2下得到苹果的最大值。j为偶数则在树1下面,奇数则在树2下面。

dp 动态规划 之C - Apple Catching 简单基础的更多相关文章

  1. poj 2385 Apple Catching 基础dp

    Apple Catching   Description It is a little known fact that cows love apples. Farmer John has two ap ...

  2. poj2385 Apple Catching (线性dp)

    题目传送门 Apple Catching Apple Catching Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 154 ...

  3. Apple Catching(dp)

    Apple Catching Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 9831   Accepted: 4779 De ...

  4. BZOJ 3384: [Usaco2004 Nov]Apple Catching 接苹果( dp )

    dp dp( x , k ) = max( dp( x - 1 , k - 1 ) + *** , dp( x - 1 , k ) + *** ) *** = 0 or 1 ,根据情况 (BZOJ 1 ...

  5. 【POJ】2385 Apple Catching(dp)

    Apple Catching Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 13447   Accepted: 6549 D ...

  6. 【POJ - 2385】Apple Catching(动态规划)

    Apple Catching 直接翻译了 Descriptions 有两棵APP树,编号为1,2.每一秒,这两棵APP树中的其中一棵会掉一个APP.每一秒,你可以选择在当前APP树下接APP,或者迅速 ...

  7. POJ 2385 Apple Catching【DP】

    题意:2棵苹果树在T分钟内每分钟随机由某一棵苹果树掉下一个苹果,奶牛站在树#1下等着吃苹果,它最多愿意移动W次,问它最多能吃到几个苹果.思路:不妨按时间来思考,一给定时刻i,转移次数已知为j, 则它只 ...

  8. Day 5 笔记 dp动态规划

    Day 5 笔记 dp动态规划 一.动态规划的基本思路 就是用一些子状态来算出全局状态. 特点: 无后效性--狗熊掰棒子,所以滚动什么的最好了 可以分解性--每个大的状态可以分解成较小的步骤完成 dp ...

  9. (转)dp动态规划分类详解

    dp动态规划分类详解 转自:http://blog.csdn.NET/cc_again/article/details/25866971 动态规划一直是ACM竞赛中的重点,同时又是难点,因为该算法时间 ...

随机推荐

  1. 146. LRU缓存机制

    题目描述 运用你所掌握的数据结构,设计和实现一个LRU (最近最少使用) 缓存机制.它应该支持以下操作: 获取数据 get 和 写入数据 put . 获取数据 get(key) - 如果密钥 (key ...

  2. rsync算法原理和工作流程分析

    本文通过示例详细分析rsync算法原理和rsync的工作流程,是对rsync官方技术报告和官方推荐文章的解释.本文不会介绍如何使用rsync命令(见rsync基本用法),而是详细解释它如何实现高效的增 ...

  3. SpringMVC4+Hibernate5+SQLServer 2014 整合(包括增删改查分页)

    前言 前面整合完了SpringMVC+MyBatis,自然也少不了SpringMVC+Hibernate,严格来说Hibernate才是我们真正想要的ORM框架么.只记得最初学习hibernate时, ...

  4. 小白Python路上第一个难点,也是一个比较重要的点(闭包,迭代器,生成器)

    一.闭包 闭包就是在内层函数中引用外层函数的变量 作用:1.保护变量不受侵害          2.让一个变量永驻内存 二.迭代器 Iterator:迭代器,包含_iter_()和_next_()函数 ...

  5. vue 前台传后台

    var the = this:let url = "/api/Purchase_Enter/CancelEnter"; let params = { Enter_Id: Enter ...

  6. 【多线程】Task

    介绍 Task是.NET推出数据任务处理的工作类.位于System.Threading.Tasks命名空间下,通过命名空间也可以看出是个多线程类. 创建Task: Task有很多构造函数,无参有参都有 ...

  7. 【Java】模拟Sping,实现其IOC和AOP核心(一)

    在这里我要实现的是Spring的IOC和AOP的核心,而且有关IOC的实现,注解+XML能混合使用! 参考资料: IOC:控制反转(Inversion of Control,缩写为IoC),是面向对象 ...

  8. 关于IOS下click事件委托失效的解决方案

    一.由于某些特殊情况下,需要用到事件委托,比如给动态创建的DOM绑定click事件,这里就需要事件委托(这里就牵扯到:目标元素和代理元素)目标元素:动态创建的元素,最终click事件需要绑定到该元素 ...

  9. LVOOP设计模式在路上(二)-- 策略模式

    前言 最近工作还挺忙的,连着好些周都是单休了,今天休息在家就来写写关于策略模式的理解和labivew的实现. 正文 1.什么是策略模式 定义是这样描述的:它定义了算法家族,分别封装起来,让它们之间可以 ...

  10. LintCode Binary Search

    For a given sorted array (ascending order) and a target number, find the first index of this number ...