一天两道力扣（1）

解法1：

python 复制代码

class Solution(object):
    def getIntersectionNode(self, headA, headB):
        A, B = headA, headB
        while(A != B):
            A = A.next if A else headB
            B = B.next if B else headA 
        return A

解析：简单来说就是两个人同时走路，相遇的点就是交叉点，因为相遇了就说明路程一样，两次循环找到交叉点。

解法2：

python 复制代码

class Solution(object):
    def getIntersectionNode(self, headA, headB):
        s = set()
        p, q = headA, headB
        while p:
            s.add(p)
            p = p.next
        while q:
            if q in s:
                return q
            q = q.next
        return None

解析：先将链表A放在哈希表里面，然后遍历B将其逐个与哈希表对比。

解法3：

python 复制代码

class Solution(object):
    def getIntersectionNode(self, headA, headB):
        s1, s2 = [], []
        p, q = headA, headB
        while p:
            s1.append(p)
            p = p.next
        while q:
            s2.append(q)
            q = q.next
        ans = None
        i, j = len(s1) - 1, len(s2) - 1
        while i >= 0 and j >= 0 and s1[i] == s2[j]:
            ans = s1[i]
            i, j = i - 1, j - 1
        return ans

解析：用栈先进后出的思想，倒着对比，直到找到不一样的地方。

解法4：

python 复制代码

class Solution(object):
    def getIntersectionNode(self, headA, headB):
        s1, s2 = 0, 0
        p, q = headA, headB
        while p:
            p = p.next
            s1 += 1
        while q:
            q = q.next
            s2 += 1
        p, q = headA, headB
        for i in range(s1 - s2):
            p = p.next
        for i in range(s2 - s1):
            q = q.next
        while p and q and p != q:
            p = p.next
            q = q.next
        return p

解析：谁长谁先遍历。先遍历到相同长度，然后直接对比就好了。

python 复制代码

class Solution(object):
    def lowestCommonAncestor(self, root, p, q):
        if not root or root == p or root == q: return root
        left = self.lowestCommonAncestor(root.left, p, q)
        right = self.lowestCommonAncestor(root.right, p, q)
        if not left and not right: return
        if not right: return left
        if not left: return right
        return root