我有一个二元搜索树的程序,该方法搜索特定的单词。我有两个问题。
我的方法如下,但我也把它包括在课堂内,以帮助消除任何困惑。
非常感谢任何帮助。
public boolean check(BSTNode t,String key)
{
if (t == null) return false;
if (t.word.equals(key)) return true;
if (check(t.left,key)) return true;
if (check(t.right,key)) return true;
return false;
}
全班:
public class BST
{
BSTNode root;
BST() {
root = null;
}
public void add2Tree(String st)
{
BSTNode newNode = new BSTNode(st);
if (this.root == null) {
root = newNode;
} else {
root = addInOrder(root, newNode);
}
}
// private BSTNode insert2(BSTNode root, BSTNode newNode)
// {
// if (root == null)
// root = newNode;
// else {
// System.out.println(root.word + " " + newNode.word);
// if (root.word.compareTo(newNode.word) > 0)
// {
// root.left = (insert2(root.lTree, newNode));
// System.out.println(" left ");
// } else
// {
// root.rTree = (insert2(root.rTree, newNode));
// System.out.println(" right ");
// }
// }
// return root;
// }
public BSTNode addInOrder(BSTNode focus, BSTNode newNode) {
int comparevalue = 0;
if (focus == null) {
focus = newNode;
}
if (focus != null) {
comparevalue = newNode.word.compareTo(focus.word);
}
if (comparevalue < 0) {
focus.left = addInOrder(focus.left, newNode);
} else if (comparevalue > 0) {
focus.right = addInOrder(focus.right, newNode);
}
return (focus);
}
public void ioprint() {
System.out.println(" start inorder");
if (root == null)
System.out.println(" Null");
printinorder(root);
}
public void printinorder(BSTNode t) {
if (t != null) {
printinorder(t.left);
System.out.println(t.word);
printinorder(t.right);
}
}
public boolean check(BSTNode t,String key)
{
if (t == null) return false;
if (t.word.equals(key)) return true;
if (check(t.left,key)) return true;
if (check(t.right,key)) return true;
return false;
}
public BSTNode getroot(){
return root;
}
}
答案 0 :(得分:0)
如何打印true / false:
Solution
,Test
或任何您喜欢的类。System.out.println(check(bstRoot, key))
。您可以查看此链接以了解如何计算BST中的节点数量,这非常简单:
Counting the nodes in a binary search tree
private int countNodes(BSTNode current) {
// if it's null, it doesn't exist, return 0
if (current == null) return 0;
// count myself + my left child + my right child
return 1 + nodes(current.left) + nodes(current.right);
}