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  • 0x094 middle sequence of the fork tree

       2026-07-02 NetworkingName640
    1111111
    Key Point:94. The middle order of the fork treeHttps://letcode-cn. Com/problems/binary-tree-inorder-traversal/CodeIdeas: using front pointer pre and root pointer through the whole fork tree1 if x has no left child, add the value of x to the answer array before accessing the right child of x2. If x has a left child, find the rightmost point on the left tree and mark it as a forward preI don't knowInordertreenode rootlistAns = new arraylist();freenode pre =

    94. The middle order of the fork tree

    Https://letcode-cn. Com/problems/binary-tree-inorder-traversal/

    Code

    Ideas: using front pointer pre and root pointer through the whole fork tree

    1 if x has no left child, add the value of x to the answer array before accessing the right child of x

    2. If x has a left child, find the rightmost point on the left tree and mark it as a forward pre

    I don't knowInordertreenode root
    listAns = new arraylist();
    freenode pre = full;
    while (root! = full)
    if (root. Left! = left)
    / / find the middle-order front of the current node
    = root. Left;
    while (pre. Right! = full & pre. Right! = root)
    = pre. Right;
    ♪ i'm sorry ♪
    if (pre. Right = null)
    pre. Right = root; / pre. Right - > root, create middle sequence relay
    root = root. Left; / / continue processing left trees
    }else {/ / current node left tree is processed, current node is pressed directly and the trunk is broken
    (c) ans. Add (root. Val);
    = full;
    root = root. Right; / / continue processing right subtrees
    ♪ i'm sorry ♪
    }else {/ / no left subtree, current node directly presses
    (c) ans. Add (root. Val);
    root = root. Right; / / continue processing right subtrees
    ♪ i'm sorry ♪
    ♪ i'm sorry ♪
    i'm sorry.
    ♪ i'm sorry ♪

    Code

    Ideas:

    The way the fork tree goes through

    Recursive exports: root = null

    Ii. Middle-right history: center-left

    ListAns = new arraylist();
    i don't knowInordertreenode root
    inorder (root);
    i'm sorry.
    ♪ i'm sorry ♪
    freenode root
    if (root = null)
    i'm sorry.
    ♪ i'm sorry ♪
    inorder (root. Left);
    (c) ans. Add (root. Val);
    inorder (root. Right);
    ♪ i'm sorry ♪

    Code

    Ideas: the elements used to store the left tree

    The way the fork tree goes through

    First, the cur cycle moves left to the left boundary of the left tree, and the passing elements enter the indent

    Two, and then one step back and the other do the same thing to the right tree

    3. End of session only when there is no element or cur pointer empty subaru

    I don't knowInordertreenode root
    arraylistAns = new arraylist();
    stackT = new stack();
    freenode cur = root;
    (cur! )
    while (cur! = null){/ / left
    st. Push (cur);
    cur = cur. Left;
    ♪ i'm sorry ♪
    cur = st. Pop();
    ;//c
    cur = cur. Right; / / right
    ♪ i'm sorry ♪
    i'm sorry.
    ♪ i'm sorry ♪

    Code

    Ideas:

    The way the fork tree goes through

    One, handle the left tree first, when cur. Left! = full, insert cur. Left into the inn and empty its left pointer

    2. After processing the left tree, add the cur. Val to the result set and eject the top elements

    Three, deal with the right subtree when cur. Right! = full, add cur. Right to the inn

    4. The iterative exit: when the inn is empty, end the process

    I don't knowInordertreenode root
    arraylistAns = new arraylist();
    stackT = new stack();
    (c) st. Add (root);
    while (! St. Isempty())
    trenode cur = st. Peek();
    if (cur = null)
    st. Pop();
    it's not a good idea.
    ♪ i'm sorry ♪
    if (cur. Left! = full)
    st. Add (cur. Left);
    cur. Left = null;
    it's not a good idea.
    ♪ i'm sorry ♪
    ;//c
    st. Pop();
    if (cur. Right! = full) {// right
    st. Add (cur. Right);
    ♪ i'm sorry ♪
    ♪ i'm sorry ♪
    i'm sorry.
    ♪ i'm sorry ♪
     
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