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Java实现二叉树先序、中序、后序遍历

一、二叉树数据结构

二叉树节点有:值(val)、左孩子(left)、右孩子(right)

class TreeNode{		//二叉树节点
	int val;
	TreeNode left;
	TreeNode right;
	TreeNode(int val, TreeNode left, TreeNode right) {
		this.val = val;
		this.left = left;
		this.right = right;
	}
}

二、递归实现先序、中序、后序遍历

    先序遍历
List<Integer> preList = new ArrayList<Integer>();
public List<Integer> preOrder(TreeNode root) {		//先序遍历  递归
	if(root == null) {
		return null;
	}
	preList.add(root.val);
	preOrder(root.left);
	preOrder(root.right);
	return preList;
}
    中序遍历
List<Integer> inList = new ArrayList<Integer>();
public List<Integer> inOrder(TreeNode root){		//中序遍历   递归
	if(root == null)
		return null;
	inOrder(root.left);
	inList.add(root.val);
	inOrder(root.right);
	return inList;
}
    后序遍历
List<Integer> postList = new ArrayList<Integer>();
public List<Integer> postOrder(TreeNode root){		//后序遍历   递归
	if(root == null)
		return null;
	postOrder(root.left);
	postOrder(root.right);
	postList.add(root.val);
	return postList;
}

三、迭代实现先序、中序、后序遍历

    先序遍历
public List<Integer> preOrderStack(TreeNode root){	//先序遍历  迭代
	List<Integer> list = new ArrayList<Integer>();
	Stack<TreeNode> stack = new Stack<TreeNode>();		//栈
	TreeNode node = root;
	while((node != null) || !stack.empty()) {
		if(node != null) {					//将左孩子压栈
			list.add(node.val);				//访问
			stack.push(node);
			node = node.left;
		}else {
			node = stack.pop();
			node = node.right;
		}
	}
	return list;
}
    中序遍历
public List<Integer> inOrderStack(TreeNode root){		//中序遍历  迭代
	List<Integer> list = new ArrayList<Integer>();
	Stack<TreeNode> stack = new Stack<TreeNode>();		//栈
	TreeNode node = root;
	while((node != null) || !stack.empty()) {
		if(node != null) {					//将左孩子压栈
			stack.push(node);
			node = node.left;
		}else {
			node = stack.pop();			//出栈并访问
			list.add(node.val);
			node = node.right;
		}
	}
	return list;
}
    后序遍历
public List<Integer> postOrderStack(TreeNode root){		//后序遍历  迭代
	List<Integer> list = new ArrayList<Integer>();
	Stack<TreeNode> stack = new Stack<TreeNode>();		//栈
	Stack<TreeNode> output = new Stack<TreeNode>();		//构造一个中间栈,存储逆后序遍历的结果
	TreeNode node = root;
	while((node != null) || !stack.empty()) {
		if(node != null) {					//将左孩子压栈
			output.push(node);			//保存节点,相当于前序遍历,根-右-左
			stack.push(node);
			node = node.right;
		}else {
			node = stack.pop();
			node = node.left;
		}
	}
	while(output.size() > 0) {
		node = output.pop();
		list.add(node.val);
	}
	return list;
}

四、测试

public static void main(String[] args) {
	BinaryTree binaryTree = new BinaryTree();
	TreeNode root = binaryTree.init();
	List<Integer> postList = binaryTree.postOrderStack(root);	//后序遍历  迭代
	System.out.println(postList);		//结果:[4, 5, 2, 6, 7, 3, 1]
}

/**
 *    1
 *  2   3
 * 4 5 6 7
 */
public TreeNode init() {			//测试数据
	TreeNode node4 = new TreeNode(4, null, null);
	TreeNode node5 = new TreeNode(5, null, null);
	TreeNode node6 = new TreeNode(6, null, null);
	TreeNode node7 = new TreeNode(7, null, null);
	TreeNode node2 = new TreeNode(2, node4, node5);
	TreeNode node3 = new TreeNode(3, node6, node7);
	TreeNode node1 = new TreeNode(1, node2, node3);
	return node1;
}

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