zoukankan      html  css  js  c++  java
  • activity select problem(greedy algorithms)

    many activities will use the same place, every activity ai has its'  start time si and finish time fi.let the number of activities to be as many as possible.

    1. dynamic programming

    use ak be a knife to cut the set activities into two parts and recursive to find the max subset

    c[i,j](star after ai finish and finish before aj star) = max {1+c[i,k] + c[k,j]} or 0(haven't ak);

    2.greedy programming

    let ai ranked by their finish time. earlier finish time ranked front than the later.

    then choose the activities by its finish time, keep they are not contradictory.

     1 public class activity_select {
     2      int[] s = {1,3,0,5,3,5,6,8,8,2,12};
     3     int[] f = {4,5,6,7,9,9,10,11,12,14,16};
     4     private static class activity{
     5         private int sta ;
     6         private int fin ;
     7         public activity(){
     8             sta = 0;
     9             fin = 0;
    10         }
    11     }
    12 
    13     public   activity[] select(){
    14     activity[]  act = new activity[s.length];
    15     for(int i = 0;i<s.length;i++){   //initial
    16         act[i] = new activity();
    17         act[i].sta = s[i];
    18         act[i].fin = f[i];
    19     }    
    20     for(int i = 0;i<s.length;i++){   //insert sort from early fin to later fin
    21         for(int j = i;j < s.length;j++){
    22             if(act[i].fin > act[j].fin){
    23                 int testa = act[j].sta;
    24                 int tefin = act[j].fin;
    25                 act[j].sta = act[i].sta;
    26                 act[j].fin = act[i].fin;
    27                 act[i].fin = tefin;
    28                 act[i].sta = testa;
    29             }
    30         }
    31     }    
    32     activity[] res = new activity[s.length];
    33     res[0] = act[0];
    34     int j = 0;
    35     for(int i = 0;i < s.length -1;i++){
    36         if(act[i+1].sta > res[j].fin){
    37             res[++j] = act[i + 1];
    38         }
    39     }
    40     activity[] res1 = new activity[j+1];
    41     for(int i = 0;i <=j;i++){
    42         res1[i] = res[i];
    43     }
    44     return res1;
    45     }
    46     
    47     
    48 
    49     public static void main(String[] args){
    50         activity_select  ac = new activity_select();
    51         activity[] a = ac.select();
    52         int n = a.length;
    53         for(int i = 0;i < n;i++){
    54             System.out.println(a[i].sta + " " +a[i].fin);
    55         }
    56     }
    57     
    58     
    59 }
  • 相关阅读:
    DBUtils温习2
    DBUtils温习1
    C3P0连接池温习1
    JDBC复习2
    JDBC复习1
    Spring的AOP基于AspectJ的注解方式开发3
    Spring的AOP基于AspectJ的注解方式开发2
    Spring的AOP基于AspectJ的注解方式开发1
    高血压认知3
    pandas cookbook
  • 原文地址:https://www.cnblogs.com/wujunde/p/7073248.html
Copyright © 2011-2022 走看看