NYOJ题目11613n+1问题

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" alt="" />

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

纯纯的模拟

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));

         boolean first=true;
         while(first || reader.ready()){
             first=false;
             long n=Long.parseLong(reader.readLine());
             System.out.println(solve(n)%3);
         }

     }

     public static int solve(long n){
         int res=0;
         while(n>1){
             n=n/2*2==n?n/2:n*3+1;
             res++;
         }
         return res;
     }

 }

题目来源： http://acm.nyist.net/JudgeOnline/problem.php?pid=1161