Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST.
According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w as descendants (where we allow a node to be a descendant of itself).”
_______6______ / \ ___2__ ___8__ / \ / \ 0 _4 7 9 / \ 3 5
For example, the lowest common ancestor (LCA) of nodes 2 and 8 is 6. Another example is LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition.
//二叉搜索树有个性质:左子树的值都比根节点小,右子树的值比根节点大。那么我们的思路就是递归比较;
//如果输入的两个节点的值比当前节点小,说明是在当前根节点的左子树中;反之则在右子树中。如果当前根节点比一个大,比一个小,那么第一个出现的这样的节点就是最近的父亲节点了。
public class Solution { public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) { if(root.val > p.val && root.val > q.val){ return lowestCommonAncestor(root.left, p, q); }else if(root.val < p.val && root.val < q.val){ return lowestCommonAncestor(root.right, p, q); }else{ return root; } } }
//另外还可以无视BST的性质,当成是BT来做,自下而上遍历最后看是否遍历到p,q节点
public class Solution { public TreeNode lowestCommonAncestor(TreeNode root, TreeNode p, TreeNode q) { if(root == null || root == p || root == q){ return root; } TreeNode left = lowestCommonAncestor(root.left, p, q); TreeNode right= lowestCommonAncestor(root.right, p, q); if(left!= null && right!= null){ return root; } if(left !=null){ return left; } if(right!=null){ return right; } return null; } }