Normal
0

7.8 磅
0
2

false
false
false

EN-US
ZH-CN
X-NONE

/* Style Definitions */
table.MsoNormalTable
{mso-style-name:普通表格;
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0cm 5.4pt 0cm 5.4pt;
mso-para-margin:0cm;
mso-para-margin-bottom:.0001pt;
mso-pagination:widow-orphan;
font-size:10.5pt;
mso-bidi-font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-ascii-font-family:Calibri;
mso-ascii-theme-font:minor-latin;
mso-hansi-font-family:Calibri;
mso-hansi-theme-font:minor-latin;
mso-bidi-font-family:"Times New Roman";
mso-bidi-theme-font:minor-bidi;
mso-font-kerning:1.0pt;}

aaarticlea/png;base64,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" alt="" />

------------------------------------------------------

AC代码:

 import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader; public class Main { public static void main(String[] args) throws IOException { BufferedReader reader=new BufferedReader(new InputStreamReader(System.in)); double ans=0;
boolean first=true;
while(first || reader.ready()){
first=false;
String ss[]=reader.readLine().split("\\s{1,}");
ans+=Double.parseDouble(ss[1])*Double.parseDouble(ss[2]);
}
System.out.printf("%.1f",ans); } }

题目来源: http://acm.nyist.net/JudgeOnline/problem.php?pid=316

Normal
0

7.8 磅
0
2

false
false
false

EN-US
ZH-CN
X-NONE

/* Style Definitions */
table.MsoNormalTable
{mso-style-name:普通表格;
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0cm 5.4pt 0cm 5.4pt;
mso-para-margin:0cm;
mso-para-margin-bottom:.0001pt;
mso-pagination:widow-orphan;
font-size:10.5pt;
mso-bidi-font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-ascii-font-family:Calibri;
mso-ascii-theme-font:minor-latin;
mso-hansi-font-family:Calibri;
mso-hansi-theme-font:minor-latin;
mso-bidi-font-family:"Times New Roman";
mso-bidi-theme-font:minor-bidi;
mso-font-kerning:1.0pt;}

NYOJ之算菜价的更多相关文章

  1. HDOJ(HDU) 2090 算菜价(简单水题、)

    Problem Description 妈妈每天都要出去买菜,但是回来后,兜里的钱也懒得数一数,到底花了多少钱真是一笔糊涂帐.现在好了,作为好儿子(女儿)的你可以给她用程序算一下了,呵呵. Input ...

  2. zzuli oj 1135 算菜价

    题目: Description 妈妈每天都要出去买菜,但是回来后,兜里的钱也懒得数一数,到底花了多少钱真是一笔糊涂帐.现在好了,作为好儿子(女儿)的你可以给她用程序算一下了,呵呵. Input 输入含 ...

  3. 3U - 算菜价

    妈妈每天都要出去买菜,但是回来后,兜里的钱也懒得数一数,到底花了多少钱真是一笔糊涂帐.现在好了,作为好儿子(女儿)的你可以给她用程序算一下了,呵呵. Input 输入含有一些数据组,每组数据包括菜种( ...

  4. HDU 2029 算菜价

    http://acm.hdu.edu.cn/showproblem.php?pid=2090 Problem Description 妈妈每天都要出去买菜,但是回来后,兜里的钱也懒得数一数,到底花了多 ...

  5. hdoj-2090-算菜价(水题)

    算菜价 Time Limit: 1000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others) Total Submis ...

  6. 杭电oj2031、2033、2070、2071、2075、2089、2090、2092、2096-2099

    2031  进制转换 #include<stdio.h> #include<string.h> int main(){ int n,i,r,x,j,flag; ]; while ...

  7. ural 1109,NYOJ 239,匈牙利算法邻接表

    NYOJ 239:http://acm.nyist.net/JudgeOnline/problem.php?pid=239 ural 1109 :http://acm.timus.ru/problem ...

  8. NYOJ 1007

    在博客NYOJ 998 中已经写过计算欧拉函数的三种方法,这里不再赘述. 本题也是对欧拉函数的应用的考查,不过考查了另外一个数论基本定理:如何用欧拉函数求小于n且与n互质所有的正整数的和. 记eule ...

  9. NYOJ 998

    这道题是欧拉函数的使用,这里简要介绍下欧拉函数. 欧拉函数定义为:对于正整数n,欧拉函数是指不超过n且与n互质的正整数的个数. 欧拉函数的性质:1.设n = p1a1p2a2p3a3p4a4...pk ...

随机推荐

  1. 又一个绝对棒的对话框插件fancybox v1.3.4

    http://www.jsfoot.com/jquery/demo/2011-07-30/fancybox/index.html jquery插件:fancybox   Fancybox的特点如下: ...

  2. JS清除IE浏览器缓存的方法

    js中自动清除ie缓存方法 — 常用 对于动态文件,比如 index.asp?id=... 或者 index.aspx?id=... 相信有经验的程序员都知道怎样禁止浏览器缓存数据了.但是对于静态文件 ...

  3. IntelliJ Idea 修改编码格式

    Setting→Editor→File Encodings→设置“Project Encoding”为UTF-8,如图:

  4. 12个Linux进程管理命令介绍

    导读 执行中的程序称作进程.当程序可以执行文件存放在存储中,并且运行的时候,每个进程会被动态得分配系统资源.内存.安全属性和与之相关的状态.可以有多个进程关联到同一个程序,并同时执行不会互相干扰.操作 ...

  5. Linux下6种优秀的邮件传输代理

    导读 在互联网上,邮件客户端向邮件服务器发送邮件然后将消息路由到正确的目的地(其他客户),其中邮件服务器使用的一个网络应用程序称为邮件传输代理(MTA). 最好的Linux邮件传输代理(MTAs) 邮 ...

  6. 跟着百度学PHP[4]OOP面对对象编程-13-魔术方法__set(),__get(),__isset(),__unset()

    __set() 在对象访问私有成员的时候自动被调用,达到了给你看,但是不能给你修改的效果!(在对象访问一个私有的成员的时候就会自动的调用该魔术方法) __get() 方法用于获取私有属性值.(在设置私 ...

  7. PictureCutting图片批量裁切(裁剪)工具

    PictureCutting图片批量裁切(裁剪)工具 写这个工具的原因是因为在获取一个软件的皮肤包中的图片的时候需要进行批量的裁切工作,而有没有找到在linux下简单好用的工具,干脆就用QT写了一个. ...

  8. HDU 1160 DP最长子序列

    G - FatMouse's Speed Time Limit:1000MS     Memory Limit:32768KB     64bit IO Format:%I64d & %I64 ...

  9. JSON代码格式化 进行查询筛选

    JSON是前端编程经常用到的格式,对于PHP或者Python,解析JSON都不是什么大事,尤其是PHP的json_encode和json_decode,干的相当的漂亮.Linux下也有处理处理JSON ...

  10. neutron中创建子网时禁用dhcp服务的问题

    在neutron中创建provider网络时,可以指定是否禁用dhcp.若禁用,就可以使用物理网络中的dhcp服务.若使用物理网络的dhcp,就要禁用子网中提供的.如图