作业-week8

有两个单向链表（链表长度分别为 m，n），这两个单向链表有可能在某个元素合并，如下图所示的这样，也可能不合并。现在给定两个链表的头指针，在不修改链表的情况下，如何快速地判断这两个链表是否合并？如果合并，找到合并的元素，也就是图中的 x 元素。
请用（伪）代码描述算法，并给出时间复杂度和空间复杂度。

public class FindIntersect {
    public static class Node {
        public int value;
        public Node next;
        public Node(int data) {
            this.value = data;
        }
    }
    /*判断是否相交，如果相交，得到第一个相交点*/
    public static Node getIntersectNode(Node head1, Node head2) {
        if (head1 == null || head2 == null) {
            return null;
        }
        Node loop1 = getLoopNode(head1);
        Node loop2 = getLoopNode(head2);
        if (loop1 == null && loop2 == null) {
            return noLoop(head1, head2);
        }
        if (loop1 != null && loop2 != null) {
            return bothLoop(head1, loop1, head2, loop2);
        }
        return null;
    }
    /*
     * 判断是否存在环，如果存在，则找出环的入口点。
     * 入口点找法：快慢指针，块指针走两步，满指针走一步，如果存在循环，则在慢指针走完环前，总会和快指针相遇。
     */
    public static Node getLoopNode(Node head) {
        if (head == null || head.next == null || head.next.next == null) {
            return null;
        }
        Node n1 = head.next; // n1 -> slow
        Node n2 = head.next.next; // n2 -> fast
        while (n1 != n2) {
            if (n2.next == null || n2.next.next == null) {
                return null;
            }
            n2 = n2.next.next;
            n1 = n1.next;
        }
        n2 = head; // n2 -> walk again from head
        while (n1 != n2) {
            n1 = n1.next;
            n2 = n2.next;
        }
        return n1;
    }
    /*无环时的判断方法*/
    public static Node noLoop(Node head1, Node head2) {
        if (head1 == null || head2 == null) {
            return null;
        }
        Node cur1 = head1;
        Node cur2 = head2;
        int n = 0;
        while (cur1.next != null) {
            n++;
            cur1 = cur1.next;
        }
        while (cur2.next != null) {
            n--;
            cur2 = cur2.next;
        }
        if (cur1 != cur2) {
            return null;
        }
        cur1 = n > 0 ? head1 : head2;
        cur2 = cur1 == head1 ? head2 : head1;
        n = Math.abs(n);
        while (n != 0) {
            n--;
            cur1 = cur1.next;
        }
        while (cur1 != cur2) {
            cur1 = cur1.next;
            cur2 = cur2.next;
        }
        return cur1;
    }
/*有环时的判断方法*/
    public static Node bothLoop(Node head1, Node loop1, Node head2, Node loop2) {
        Node cur1 = null;
        Node cur2 = null;
        if (loop1 == loop2) {
            cur1 = head1;
            cur2 = head2;
            int n = 0;
            while (cur1 != loop1) {
                n++;
                cur1 = cur1.next;
            }
            while (cur2 != loop2) {
                n--;
                cur2 = cur2.next;
            }
            cur1 = n > 0 ? head1 : head2;
            cur2 = cur1 == head1 ? head2 : head1;
            n = Math.abs(n);
            while (n != 0) {
                n--;
                cur1 = cur1.next;
            }
            while (cur1 != cur2) {
                cur1 = cur1.next;
                cur2 = cur2.next;
            }
            return cur1;
        } else {
            cur1 = loop1.next;
            while (cur1 != loop1) {
                if (cur1 == loop2) {
                    return loop1;
                }
                cur1 = cur1.next;
            }
            return null;
        }
    }
    public static void main(String args[]){
    //侧重算法，没有实现链表部分
        Node node1 = new Node(1);
        Node node2 = new Node(2);
        Node node3 = new Node(3);
        Node node4 = new Node(4);
        Node node5 = new Node(5);
        Node node6 = new Node(6);
        Node node7 = new Node(7);
        node1.next = node2;
        node2.next = node3;
        node3.next = node4;
        node4.next = node5;
        node5.next = node6;
        node6.next = node7;
        node7.next = node4;
        Node node11 = new Node(0);
        Node node22 = new Node(9);
        Node node33 = new Node(8);
        node11.next = node22;
        node22.next = node33;
        node33.next = node6;
      Node result = getIntersectNode(node1,node11);
        System.out.print(result.value); // 结果为4
    }
}