搜索二叉樹:它或者是一棵空樹,或者是具有下列性質的二叉樹: 若它的左子樹不空,則左子樹上所有結點的值均小於它的根結點的值; 若它的右子樹不空,則右子樹上所有結點的值均大於它的根結點的值; 它的左、右子樹也分別爲二叉排序樹。
即 二叉搜索樹的中序遍歷一定是從小到大排好序的
所以判斷一棵樹是否是二叉搜索樹 查看其中序遍歷是否爲從小排到大的即可
修改非遞歸版本的中序遍歷代碼。設一個pre用來保存上一次的節點 在輸出位置判斷pre是否大於此應該輸出的節點
public static boolean isBST(Node head) {
if (head == null)
return true;
Stack<Node> stack = new Stack<Node>();
int pre=Integer.MIN_VALUE;
while (!stack.isEmpty()||head!=null) {
while (head != null) {
stack.push(head);
head = head.left;
}
head = stack.pop();
if(head.value <pre) return false;
//System.out.print(head.value+" ");
pre=head.value;
head = head.right;
}
return true;
}
在此暫時收錄一個方法二:木的解析...
public static boolean isBST2(Node head) {
if (head == null) {
return true;
}
boolean res = true;
Node pre = null;
Node cur1 = head;
Node cur2 = null;
while (cur1 != null) {
cur2 = cur1.left;
if (cur2 != null) {
while (cur2.right != null && cur2.right != cur1) {
cur2 = cur2.right;
}
if (cur2.right == null) {
cur2.right = cur1;
cur1 = cur1.left;
continue;
} else {
cur2.right = null;
}
}
if (pre != null && pre.value > cur1.value) {
res = false;
}
pre = cur1;
cur1 = cur1.right;
}
return res;
}
完整測試代碼:
package BinaryTree;
import java.util.Stack;
import BinaryTree.threePrintTree.Node;
//判斷一個數是不是二叉搜索樹
public class SerchTree {
public static boolean isBST(Node head) {
if (head == null)
return true;
Stack<Node> stack = new Stack<Node>();
int pre=Integer.MIN_VALUE;
while (!stack.isEmpty()||head!=null) {
while (head != null) {
stack.push(head);
head = head.left;
}
head = stack.pop();
if(head.value <pre) return false;
//System.out.print(head.value+" ");
pre=head.value;
head = head.right;
}
return true;
}
public static boolean isBST2(Node head) {
if (head == null) {
return true;
}
boolean res = true;
Node pre = null;
Node cur1 = head;
Node cur2 = null;
while (cur1 != null) {
cur2 = cur1.left;
if (cur2 != null) {
while (cur2.right != null && cur2.right != cur1) {
cur2 = cur2.right;
}
if (cur2.right == null) {
cur2.right = cur1;
cur1 = cur1.left;
continue;
} else {
cur2.right = null;
}
}
if (pre != null && pre.value > cur1.value) {
res = false;
}
pre = cur1;
cur1 = cur1.right;
}
return res;
}
public static void main(String[] args) {
Node head = new Node(4);
head.left = new Node(2);
head.right = new Node(6);
head.left.left = new Node(1);
head.left.right = new Node(3);
head.right.left = new Node(5);
//printTree(head);
System.out.println(isBST2(head));
//System.out.println(isCBT(head));
}
}