Serialize and Deserialize Binary Tree & BST

297. Serialize and Deserialize Binary Tree

Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory buffer, or transmitted across a network connection link to be reconstructed later in the same or another computer environment.
Design an algorithm to serialize and deserialize a binary tree. There is no restriction on how your serialization/deserialization algorithm should work. You just need to ensure that a binary tree can be serialized to a string and this string can be deserialized to the original tree structure.
For example, you may serialize the following treeapp

1    
   / \  
  2   3
     / \
    4   5

as "[1,2,3,null,null,4,5]", just the same as how LeetCode OJ serializes a binary tree. You do not necessarily need to follow this format, so please be creative and come up with different approaches yourself.
Note: Do not use class member/global/static variables to store states. Your serialize and deserialize algorithms should be stateless.less

思路

理論上說全部遍歷的方法均可以。可是爲了使serialize和deserialize的過程都儘可能最簡單,preorder是不錯的選擇。serialize的話,dfs比較好寫,deserialize的話preorder和bfs比較好寫。用「,」做爲分隔符,「#」來表示null。例子裏serialize以後結果就變成"1,2,3,#,#,4,5"。deserialize的時候用一個queue來保存string。ui

複雜度

Time: O(N), Space: O(N)this

代碼

// Encodes a tree to a single string.
    public String serialize(TreeNode root) {
        // base case
        if(root == null) return "";
        StringBuilder encoded = new StringBuilder();
        encode(root, encoded);
        return encoded.substring(1).toString();
    }
    
    private void encode(TreeNode root, StringBuilder sb) {
        if(root == null) {
            sb.append(",#");
            return;
        }
        sb.append(",").append(root.val);
        encode(root.left, sb);
        encode(root.right, sb);
    }

    // Decodes your encoded data to tree.
    public TreeNode deserialize(String data) {
        // base case
        if(data.length() == 0) return null;
        Queue<String> q = new LinkedList(Arrays.asList(data.split(",")));
        return decode(q);
    }
    
    private TreeNode decode(Queue<String> q) {
        if(q.isEmpty()) return null;
        String cur = q.poll();
        if(cur.equals("#")) return null;
        TreeNode root = new TreeNode(Integer.valueOf(cur));
        root.left = decode(q);
        root.right = decode(q);
        return root;
    }

449. Serialize and Deserialize BST

Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory buffer, or transmitted across a network connection link to be reconstructed later in the same or another computer environment.rest

The encoded string should be as compact as possible.code

Note: Do not use class member/global/static variables to store states. Your serialize and deserialize algorithms should be stateless.orm

思路

這道題和以前不一樣,通常的樹變成了BST,並且要求是as compact as possible。仍是能夠用preorder,仍是須要分隔符,可是null就不須要保存了。deserialize部分要變得複雜,left的值老是小於root的值,right的值老是大於root的值,根據這個每次recursion的時候把左邊的值都放到另外一個queue裏面,剩下的就是右邊的值。string

複雜度

Time: O(N^2), Space: O(N)it

代碼

// Encodes a tree to a single string.
    public String serialize(TreeNode root) {
        // base case
        if(root == null) return "";
        StringBuilder encoded = new StringBuilder();
        encode(root, encoded);
        return encoded.substring(1).toString();
    }
    
    private void encode(TreeNode root, StringBuilder sb) {
        if(root == null) return;
        sb.append(",").append(root.val);
        encode(root.left, sb);
        encode(root.right, sb);
    }
    
    // Decodes your encoded data to tree.
    public TreeNode deserialize(String data) {
        // base case
        if(data.length() == 0) return null;
        Queue<Integer> q = new LinkedList();
        for(String s : data.split(",")) q.offer(Integer.valueOf(s));
        return decode(q);
    }
    
    private TreeNode decode(Queue<Integer> q) {
        if(q.isEmpty()) return null;
        int cur = q.poll();
        TreeNode root = new TreeNode(cur);
        Queue<Integer> left = new LinkedList(); 
        while(!q.isEmpty() && q.peek() < cur) left.offer(q.poll());
        root.left = decode(left);
        root.right = decode(q);
        return root;
    }
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