假设您在Java中有一个链表结构。它由节点组成:

class Node {
    Node next;
    // some user data
}

每个节点都指向下一个节点,除了最后一个节点,它的next为空。假设有一种可能性,列表可以包含一个循环-即最后的节点,而不是有一个空值,有一个引用到列表中它之前的一个节点。

最好的写作方式是什么

boolean hasLoop(Node first)

如果给定的节点是带有循环的列表的第一个,则返回true,否则返回false ?你怎么能写出一个常数的空间和合理的时间呢?

下面是一个带有循环的列表的图片:


当前回答

你可以使用弗洛伊德的周期寻找算法,也被称为乌龟和野兔算法。 其思想是对列表有两个引用,并以不同的速度移动它们。一个向前移动1个节点,另一个向前移动2个节点。

如果链表有一个循环 一定会见面的。 或者 这两个引用(或下一个) 将变为null。

实现算法的Java函数:

boolean hasLoop(Node first) {

    if(first == null) // list does not exist..so no loop either
        return false;

    Node slow, fast; // create two references.

    slow = fast = first; // make both refer to the start of the list

    while(true) {

        slow = slow.next;          // 1 hop

        if(fast.next != null)
            fast = fast.next.next; // 2 hops
        else
            return false;          // next node null => no loop

        if(slow == null || fast == null) // if either hits null..no loop
            return false;

        if(slow == fast) // if the two ever meet...we must have a loop
            return true;
    }
}

其他回答

下面的方法可能不是最好的——它是O(n²)。然而,它应该有助于完成工作(最终)。

count_of_elements_so_far = 0;
for (each element in linked list)
{
    search for current element in first <count_of_elements_so_far>
    if found, then you have a loop
    else,count_of_elements_so_far++;
}

这种方法有空间开销,但实现更简单:

循环可以通过在Map中存储节点来标识。在放置节点之前;检查节点是否已经存在。如果节点已经存在于映射中,则意味着链表有循环。

public boolean loopDetector(Node<E> first) {  
       Node<E> t = first;  
       Map<Node<E>, Node<E>> map = new IdentityHashMap<Node<E>, Node<E>>();  
       while (t != null) {  
            if (map.containsKey(t)) {  
                 System.out.println(" duplicate Node is --" + t  
                           + " having value :" + t.data);  

                 return true;  
            } else {  
                 map.put(t, t);  
            }  
            t = t.next;  
       }  
       return false;  
  }  

这是我在java中的解决方案

boolean detectLoop(Node head){
    Node fastRunner = head;
    Node slowRunner = head;
    while(fastRunner != null && slowRunner !=null && fastRunner.next != null){
        fastRunner = fastRunner.next.next;
        slowRunner = slowRunner.next;
        if(fastRunner == slowRunner){
            return true;
        }
    }
    return false;
}
public boolean hasLoop(Node start){   
   TreeSet<Node> set = new TreeSet<Node>();
   Node lookingAt = start;

   while (lookingAt.peek() != null){
       lookingAt = lookingAt.next;

       if (set.contains(lookingAt){
           return false;
        } else {
        set.put(lookingAt);
        }

        return true;
}   
// Inside our Node class:        
public Node peek(){
   return this.next;
}

请原谅我的无知(我对Java和编程仍然相当陌生),但为什么上面的方法不能工作呢?

I guess this doesn't solve the constant space issue... but it does at least get there in a reasonable time, correct? It will only take the space of the linked list plus the space of a set with n elements (where n is the number of elements in the linked list, or the number of elements until it reaches a loop). And for time, worst-case analysis, I think, would suggest O(nlog(n)). SortedSet look-ups for contains() are log(n) (check the javadoc, but I'm pretty sure TreeSet's underlying structure is TreeMap, whose in turn is a red-black tree), and in the worst case (no loops, or loop at very end), it will have to do n look-ups.

public boolean isCircular() {

    if (head == null)
        return false;

    Node temp1 = head;
    Node temp2 = head;

    try {
        while (temp2.next != null) {

            temp2 = temp2.next.next.next;
            temp1 = temp1.next;

            if (temp1 == temp2 || temp1 == temp2.next) 
                return true;    

        }
    } catch (NullPointerException ex) {
        return false;

    }

    return false;

}