round up to nearest hundred

1 Cocks are worth 5 dollars, 1 hens are worth 3 dollars, 3 chickens are worth 1 cents. I would like to buy 100 chickens with the text money, rooster, hen and chicken each have a few?The actual problem will be in the form of M money to buy n chickensAccording to the order of the Rooster hen chickens respectively output results, a group of answers occupy a row, the solution according to the number of cocks from large to small sort (second hen, chick again)Output no answer when no solution is in us

miserable. Yoblait people about the expenses and so on is also a big expense, your pocket-money drum? Even if the funds are sufficient, your covenant people do not approve, go back to your spirit is not a blow your friends go back to think you? If you make a point you want to go to the manager room is impossible, in this salesman to manager period you have little money to enter, this period your introducer is the most happy because the money is missing him there, the mental pressure you bear it

Note: The problem has been solved. For details, refer to the solution to the "one time in a hundred years" strange problem. One is Microsoft's IE, and the other is Microsoft's. NET Framework 4.5. This is a strange problem that reminds people of a verse: "This is the same root, it is too urgent to get started ". Let's take a look at this strange problem that has been encountered for a hundred years. Pr

Title: Rooster 5 Text Money One, hen 3 money A, Chick 3 only a penny,Buy 100 chickens with 100 cents, among them cocks, hens, chickens all must have, ask the rooster, hen, chicken to buy how many only just to make up 100 text money.Solution: Set, Rooster x only, hen y only, chick Z only.x+y+z=1005x+3y+1/3z=100(0We use the enumeration methodThe code is as follows:public class teststatic{public static void Main (string[] args) {int x;int y;int z;for (x=0;xfor (y=0;yZ=100-x-y;if (5x+3y+z/3==100z%3=

):");int Money=scan.nextint ();int count=0; Total scheme number with Count recordsSuppose I means buy the number of hens, j means buy the number of cocks, k means buy chickens numberfor (int i=0;ifor (int j=0;jfor (int k=0;kk+=3{//k is the number of chicks, assuming that all money buys chickens, you can buy up to money*3, so the value range for K is 0-money*3if (i+j+k==num I*5+j*3+k/3==money) {//Note: The number of chicks must be 3 multiples to guarantee that the money spent is an integer, not

Example: There are 100 text money, to buy 100 chickens, Rooster 5 A, hen 3 article A, chick three only one article, ask the Rooster hen how many chickens each? Method One:1 #!/usr/bin/env python2 #-*-coding:utf-8-*-3 forAinchRange (100//5+1):4 forBinchRange (100//3+1):5 forCinchRange (0, 100*3+1, 3):6 ifA + B + C ==100 7 andA*5 + b*3 + (C//3) * = = 100:8 Print('gj:%3d mj:%3d xj:%3d'% (A, B, c))Execution Result:gj:0 mj:25 xj:75Gj:4 mj:18

I. Basic Environment 1, version cat/etc/debian_version7.82, kernel uname-r3.2.0-4-amd643, IP (eth0) 10.1.10.11710.1.10.1854 , 2 machines are set permissions grantallprivilegeson ' xxx% ' .*to ' Jimmy ' @ ' 10.1.10.% ' identifiedby ' Redhat '; flushprivileges;5, be aware that the database must be listening on the corresponding native IP address two, shell script function Description redirectlog #记录日志createdb #创建库createtb #创建表 Third, specific code catcreatedbtb.sh#!/bin/bash#---------------

KNN is one of the simplest machine learning algorithms. In pattern recognition, thek -Nearest neighbor algorithm (or short name of nearest neighbor) is a non-parametric method for classification and regression. [1] In both cases, the input contains K The most recent training samples in the feature space. the output depends on whether the nearest neighbor is used

The K-Nearest neighbor algorithm is the most basic of the case-based learning methods, and first introduces the related concepts of case-based learning. first, the case-based learning. 1, a series of training examples are known, many learning methods for the objective function to establish a clear generalized description; But unlike this, an instance-based learning approach simply stores the training sample. The generalization work from these instanc

When the K-nearest neighbor method is used to classify, the new instance is predicted by a majority vote according to the category of the training instance of K nearest neighbor. Since the characteristic space of the K-nearest neighbor model is generally n-dimensional real vector, the distance is usually based on the Euclidean distance. The key is the selection o

In order to improve the performance of these two aspects, it is proposed to use the branch-defining algorithm (Branch-bound algorithm) to improve the nearest neighbor method, which needs to traverse the computation distance in the nearest neighbor method. It is divided into two stages: 1) The sample set X is divided into hierarchical form by using the artificial partition or K-means clustering algorithm or

The K-Nearest neighbor search for data in the k-d tree is an important part of feature matching, and its purpose is to retrieve the K number points closest to the point to be queried in the k-d tree.Nearest neighbor search is a special case of K nearest neighbor, which is 1 nearest neighbor. It is easy to extend 1 nearest