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排序算法的Java实现全攻略

2019年07月22日  | 移动技术网IT编程  | 我要评论

collections.sort()

java的排序可以用collections.sort() 排序函数实现。
用collections.sort方法对list排序有两种方法:
第一种是list中的对象实现comparable接口,如下:

/**
* 根据order对user排序
*/
public class user implements comparable<user>{
  private string name;
  private integer order;
  public string getname() {
    return name;
  }
  public void setname(string name) {
    this.name = name;
  }
  public integer getorder() {
    return order;
  }
  public void setorder(integer order) {
    this.order = order;
  }
  public int compareto(user arg0) {
    return this.getorder().compareto(arg0.getorder());
  }
}

测试一下:

public class test{

  public static void main(string[] args) {
    user user1 = new user();
    user1.setname("a");
    user1.setorder(1);
    user user2 = new user();
    user2.setname("b");
    user2.setorder(2);
    list<user> list = new arraylist<user>();
    //此处add user2再add user1
    list.add(user2);
    list.add(user1);
    collections.sort(list);
    for(user u : list){
      system.out.println(u.getname());
    }
  }
}

输出结果如下

a
b

第二种方法是根据collections.sort重载方法来实现,例如:

/**
* 根据order对user排序
*/
public class user { //此处无需实现comparable接口
  private string name;
  private integer order;
  public string getname() {
    return name;
  }
  public void setname(string name) {
    this.name = name;
  }
  public integer getorder() {
    return order;
  }
  public void setorder(integer order) {
    this.order = order;
  }
}

主类中这样写即可:

public class test{
  public static void main(string[] args) {
    user user1 = new user();
    user1.setname("a");
    user1.setorder(1);
    user user2 = new user();
    user2.setname("b");
    user2.setorder(2);
    list<user> list = new arraylist<user>();
    list.add(user2);
    list.add(user1);
    
    collections.sort(list,new comparator<user>(){
      public int compare(user arg0, user arg1) {
        return arg0.getorder().compareto(arg1.getorder());
      }
    });
    for(user u : list){
      system.out.println(u.getname());
    }
  }
}

输出结果如下

a
b

前者代码结构简单,但是只能根据固定的属性排序,后者灵活,可以临时指定排序项,但是代码不够简洁

择优用之。

常用排序算法
下面来看几种经典排序算法的java代码实践:

冒泡排序

   

 public static void bubblesort(int a[], int n) { 
    int i, j; 
     
    for (i = 0; i < n - 1; i ++) { 
      for (j = 0; j < n - i - 1; j ++) { 
        if (a[j] > a[j + 1]) { 
          a[j] = a[j] ^ a[j + 1]; 
          a[j + 1] = a[j] ^ a[j + 1]; 
          a[j] = a[j] ^ a[j + 1]; 
        } 
      } 
    } 
  } 

 

直接插入排序

    

public static void insertsort(int a[], int n) { 
    int i, j, tmp; 
   
    for (i = 1; i < n; i++) { 
      tmp = a[i]; 
   
      for (j = i - 1; j >= 0; j--) { 
        if (a[j] > tmp) { 
          a[j + 1] = a[j]; 
        } else { 
          break; 
        } 
      } 
   
      a[j + 1] = tmp; 
    } 
  } 

 

直接选择排序

    

public static void selectsort(int a[], int n) { 
    int i, j, loc; 
   
    for (i = 0; i < n; i++) { 
      loc = i; 
   
      for (j = i + 1; j < n; j++) { 
        if (a[j] < a[loc]) { 
          loc = j; 
        } 
      } 
   
      if (loc != i) { 
        a[i] = a[i] ^ a[loc]; 
        a[loc] = a[i] ^ a[loc]; 
        a[i] = a[i] ^ a[loc]; 
      } 
    } 
  } 

 

堆排序

 

  /** 
   * 堆排序(从小到大) 
   * 
   * @param a 
   * @param n 
   */ 
  public static void heapsort(int a[], int n) { 
    int tmp; 
   
    // 构建大根堆 
    buildmaxheap(a, n); 
   
    for (int j = n - 1; j >= 1; j--) { 
      tmp = a[0]; 
      a[0] = a[j]; 
      a[j] = tmp; 
   
      maxheapify(a, 0, j); 
    } 
  } 
   
  /** 
   * 构建大根堆 
   * 
   * @param a 
   * @param n 
   */ 
  private static void buildmaxheap(int a[], int n) { 
    for (int i = (n - 2) / 2; i >= 0; i--) { 
      maxheapify(a, i, n); 
    } 
  } 
   
  /** 
   * 维护从下标i开始的最大堆 
   * 
   * @param a 
   * @param i 
   * @param n 
   */ 
  private static void maxheapify(int a[], int i, int n) { 
    int left, right, loc; 
   
    while (i < n) { 
      left = 2 * i + 1; 
      right = 2 * i + 2; 
      loc = i; 
   
      if (left < n && a[left] > a[i]) { 
        i = left; 
      } 
   
      if (right < n && a[right] > a[i]) { 
        i = right; 
      } 
   
      if (loc != i) { 
        a[i] = a[loc] ^ a[i]; 
        a[loc] = a[loc] ^ a[i]; 
        a[i] = a[loc] ^ a[i]; 
      } else { 
        break; 
      } 
    } 
  } 

 

快速排序

 

  public static void quicksort(int a[], int bt, int ed) { 
    if (bt < ed) { 
      int pivot = pivotpartition(a, bt, ed); 
   
      quicksort(a, bt, pivot - 1); 
   
      quicksort(a, pivot + 1, ed); 
    } 
  } 
   
  private static void swapvar(int a[], int bt, int ed) { 
    int mid = bt + (ed - bt) / 2; 
   
    if (mid != bt) { 
      a[bt] = a[bt] ^ a[mid]; 
      a[mid] = a[bt] ^ a[mid]; 
      a[bt] = a[bt] ^ a[mid]; 
    } 
  } 
   
  private static int pivotpartition(int a[], int bt, int ed) { 
    // 取中间值作为stand,防止数组有序出现o(n^2)情况 
    swapvar(a, bt, ed); 
   
    int stand = a[bt]; 
   
    while (bt < ed) { 
      while (bt < ed && a[ed] >= stand) { 
        ed--; 
      } 
      if (bt < ed) { 
        a[bt++] = a[ed]; 
      } 
   
      while (bt < ed && a[bt] <= stand) { 
        bt++; 
      } 
      if (bt < ed) { 
        a[ed--] = a[bt]; 
      } 
    } 
   
    a[bt] = stand; 
   
    return bt; 
  } 

归并排序

  

 public static void mergesort(int a[], int bt, int ed) { 
    if (bt < ed) { 
      int mid = bt + (ed - bt) / 2; 
   
      mergesort(a, bt, mid); 
   
      mergesort(a, mid + 1, ed); 
   
      mergearray(a, bt, mid, ed); 
    } 
  } 
   
  private static void mergearray(int a[], int bt, int mid, int ed) { 
    int i, j, k, len = ed - bt + 1; 
    int tmp[] = new int[len]; 
   
    for (i = bt, j = mid + 1, k = 0; i <= mid && j <= ed; k++) { 
      if (a[i] <= a[j]) { 
        tmp[k] = a[i++]; 
      } else { 
        tmp[k] = a[j++]; 
      } 
    } 
   
    while (i <= mid) { 
      tmp[k++] = a[i++]; 
    } 
   
    while (j <= ed) { 
      tmp[k++] = a[j++]; 
    } 
   
    for (i = 0; i < k; i++) { 
      a[bt + i] = tmp[i]; 
    } 
  } 

 

测试程序

 来将以上算法归纳总结一下:

 import java.util.scanner; 
   
  public class javasort { 
    public static void main(string args[]) { 
      scanner cin = new scanner(system.in); 
   
      int a[], n; 
   
      while (cin.hasnext()) { 
        n = cin.nextint(); 
        a = new int[n]; 
   
        for (int i = 0; i < n; i++) { 
          a[i] = cin.nextint(); 
        } 
   
        // bubblesort(a, n); 
   
        // insertsort(a, n); 
   
        // selectsort(a, n); 
   
        // heapsort(a, n); 
   
        // quicksort(a, 0, n - 1); 
   
        mergesort(a, 0, n - 1); 
   
        printarr(a); 
      } 
    } 
   
    /** 
     * 归并排序 
     * 
     * @param a 
     * @param bt 
     * @param ed 
     */ 
    public static void mergesort(int a[], int bt, int ed) { 
      if (bt < ed) { 
        int mid = bt + (ed - bt) / 2; 
   
        mergesort(a, bt, mid); 
   
        mergesort(a, mid + 1, ed); 
   
        mergearray(a, bt, mid, ed); 
      } 
    } 
   
    /** 
     * 合并数组 
     * 
     * @param a 
     * @param bt 
     * @param mid 
     * @param ed 
     */ 
    private static void mergearray(int a[], int bt, int mid, int ed) { 
      int i, j, k, len = ed - bt + 1; 
      int tmp[] = new int[len]; 
   
      for (i = bt, j = mid + 1, k = 0; i <= mid && j <= ed; k++) { 
        if (a[i] <= a[j]) { 
          tmp[k] = a[i++]; 
        } else { 
          tmp[k] = a[j++]; 
        } 
      } 
   
      while (i <= mid) { 
        tmp[k++] = a[i++]; 
      } 
   
      while (j <= ed) { 
        tmp[k++] = a[j++]; 
      } 
   
      for (i = 0; i < k; i++) { 
        a[bt + i] = tmp[i]; 
      } 
    } 
   
    /** 
     * 快速排序 
     * 
     * @param a 
     * @param bt 
     * @param ed 
     */ 
    public static void quicksort(int a[], int bt, int ed) { 
      if (bt < ed) { 
        int pivot = pivotpartition(a, bt, ed); 
   
        quicksort(a, bt, pivot - 1); 
   
        quicksort(a, pivot + 1, ed); 
      } 
    } 
   
    private static void swapvar(int a[], int bt, int ed) { 
      int mid = bt + (ed - bt) / 2; 
   
      if (mid != bt) { 
        a[bt] = a[bt] ^ a[mid]; 
        a[mid] = a[bt] ^ a[mid]; 
        a[bt] = a[bt] ^ a[mid]; 
      } 
    } 
   
    /** 
     * 快排寻找基准点位置 
     * 
     * @param a 
     * @param bt 
     * @param ed 
     * @return 
     */ 
    private static int pivotpartition(int a[], int bt, int ed) { 
      // 取中间值作为stand,防止数组有序出现o(n^2)情况 
      swapvar(a, bt, ed); 
   
      int stand = a[bt]; 
   
      while (bt < ed) { 
        while (bt < ed && a[ed] >= stand) { 
          ed--; 
        } 
        if (bt < ed) { 
          a[bt++] = a[ed]; 
        } 
   
        while (bt < ed && a[bt] <= stand) { 
          bt++; 
        } 
        if (bt < ed) { 
          a[ed--] = a[bt]; 
        } 
      } 
   
      a[bt] = stand; 
   
      return bt; 
    } 
   
    /** 
     * 堆排序(从小到大) 
     * 
     * @param a 
     * @param n 
     */ 
    public static void heapsort(int a[], int n) { 
      int tmp; 
   
      // 构建大根堆 
      buildmaxheap(a, n); 
   
      for (int j = n - 1; j >= 1; j--) { 
        tmp = a[0]; 
        a[0] = a[j]; 
        a[j] = tmp; 
   
        maxheapify(a, 0, j); 
      } 
    } 
   
    /** 
     * 构建大根堆 
     * 
     * @param a 
     * @param n 
     */ 
    private static void buildmaxheap(int a[], int n) { 
      for (int i = (n - 2) / 2; i >= 0; i--) { 
        maxheapify(a, i, n); 
      } 
    } 
   
    /** 
     * 维护从下标i开始的最大堆 
     * 
     * @param a 
     * @param i 
     * @param n 
     */ 
    private static void maxheapify(int a[], int i, int n) { 
      int left, right, loc; 
   
      while (i < n) { 
        left = 2 * i + 1; 
        right = 2 * i + 2; 
        loc = i; 
   
        if (left < n && a[left] > a[i]) { 
          i = left; 
        } 
   
        if (right < n && a[right] > a[i]) { 
          i = right; 
        } 
   
        if (loc != i) { 
          a[i] = a[loc] ^ a[i]; 
          a[loc] = a[loc] ^ a[i]; 
          a[i] = a[loc] ^ a[i]; 
        } else { 
          break; 
        } 
      } 
    } 
   
    /** 
     * 直接选择排序 
     * 
     * @param a 
     * @param n 
     */ 
    public static void selectsort(int a[], int n) { 
      int i, j, loc; 
   
      for (i = 0; i < n; i++) { 
        loc = i; 
   
        for (j = i + 1; j < n; j++) { 
          if (a[j] < a[loc]) { 
            loc = j; 
          } 
        } 
   
        if (loc != i) { 
          a[i] = a[i] ^ a[loc]; 
          a[loc] = a[i] ^ a[loc]; 
          a[i] = a[i] ^ a[loc]; 
        } 
      } 
    } 
   
    /** 
     * 直接插入排序 
     * 
     * @param a 
     * @param n 
     */ 
    public static void insertsort(int a[], int n) { 
      int i, j, tmp; 
   
      for (i = 1; i < n; i++) { 
        tmp = a[i]; 
   
        for (j = i - 1; j >= 0; j--) { 
          if (a[j] > tmp) { 
            a[j + 1] = a[j]; 
          } else { 
            break; 
          } 
        } 
   
        a[j + 1] = tmp; 
      } 
    } 
   
    /** 
     * 冒泡排序 
     * 
     * @param a 
     * @param n 
     */ 
    public static void bubblesort(int a[], int n) { 
      int i, j; 
   
      for (i = 0; i < n - 1; i++) { 
        for (j = 0; j < n - i - 1; j++) { 
          if (a[j] > a[j + 1]) { 
            a[j] = a[j] ^ a[j + 1]; 
            a[j + 1] = a[j] ^ a[j + 1]; 
            a[j] = a[j] ^ a[j + 1]; 
          } 
        } 
      } 
    } 
   
    /** 
     * 打印数组 
     * 
     * @param a 
     */ 
    public static void printarr(int a[]) { 
      for (int i = 0; i < a.length; i++) { 
        if (i == a.length - 1) { 
          system.out.printf("%d\n", a[i]); 
        } else { 
          system.out.printf("%d ", a[i]); 
        } 
      } 
    } 
  } 

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