c++ - 没有递归 C++ 的 AVL 树插入

Question

我正在使用以下代码来实现 AVL 树插入，但它没有按正确的顺序显示，也没有更新高度我还保留了一些功能，因为当插入完成时我将能够完成这些功能

AVLNode.cpp

  #include <iostream>
    #include <string>
    #include "AVLNode.h"
    using namespace std;

    AVLNode::AVLNode(string ss, string na){
        ssn = ss;
        name = na;
        height = 0;
        left = NULL;
        right = NULL;
        parent = NULL;
    }

AVLNode.h

    #include <iostream>
    #include <string>
    using namespace std;

    struct AVLNode{
      string ssn;
      string name;
      AVLNode *left;
      AVLNode *right;
      AVLNode *parent;
      int height;

      AVLNode(string ss, string na);
    };

AVLTree.cpp

#include <iostream>
#include <string>
#include <stdio.h>
#include "AVLTree.h"
#include <iomanip>
#include <queue>
using namespace std;

AVLTree::AVLTree(){
    root = NULL;
}

AVLTree::~AVLTree(){


}

AVLNode* AVLTree::getRoot(){
    return root;
}


// search value ss in the AVL tree
bool AVLTree::find(string ss){
    if (root == NULL) {
        return false;
    }

    AVLNode* node = root;

    while (node != NULL) {
        if (ss.compare(node->ssn) == 0) {
            return true;
        }
        if (ss.compare(node->ssn) < 0) {
            node = node->left;
        }
        else{
            node = node->right;
        }
    }
    return false;
}

// return the height of the subtree rooted at node
// if subtree is empty, height is -1
// if subtree has one node, height is 0
int AVLTree::height(AVLNode* node){

    if(node != NULL){
        return node->height;
    }
    else{
        return -1;
    }
}

// return the balance factor of the node
int AVLTree::balanceFactor(AVLNode* node){
    return height(node->left) - height(node->right);
}

// update the height of the node
// this should be done whenever the tree is modified
void AVLTree::updateHeight(AVLNode* node){
    int hl = height(node->left);
    int hr = height(node->right);
    node->height = (hl > hr ? hl : hr) + 1;
}


// rotate right the subtree rooted at node
// return the new root of the subtree
AVLNode* AVLTree::rotateRight(AVLNode* node){
    AVLNode* lp = node->left;      // left child of node
    if (node->parent != NULL) {  // node is not root
        if (node->parent->left == node) { // node is a left child
            node->parent->left = lp;
        }else{
            node->parent->right = lp;     // node is a right child
        }
    }

    if (lp->right != NULL) {           // pointer update
        lp->right->parent = node;
    }

    lp->parent = node->parent;
    node->left = lp->right;
    lp->right = node;
    node->parent = lp;
    updateHeight(node);                   // after rotation, update height
    updateHeight(lp);                     // after rotation, update height
    if (node == root) {
        root = lp;
    }
    return lp; // lp is the new root of the subtree
}


// rotate left the subtree rooted at node
// return the new root of the subtree
AVLNode* AVLTree::rotateLeft(AVLNode* node){
    AVLNode* rp = node->right;
    if (node->parent!=NULL) {
        if (node->parent->left == node) {
            node->parent->left = rp;
        }else{
            node->parent->right = rp;
        }
    }

    if (rp->left != NULL) {
       rp->left->parent = node;
    }

    rp->parent = node->parent;

    node->right = rp->left;
    rp->left = node;
    node->parent = rp;
    node->parent = rp;
    updateHeight(node);
    updateHeight(rp);
    if (node == root) {
        root = rp;
    }
    return rp;
}


// rebalance a tree rooted at node
// return the new root of the subtree
AVLNode* AVLTree::balance(AVLNode* node){
    updateHeight(node);
    if (balanceFactor(node) == 2) {
        if (balanceFactor(node->left) < 0) {
            node->left = rotateLeft(node->left); // for left right case
        }

        AVLNode* temp = rotateRight(node);
        updateHeight(temp);
        return temp;
    }

    if (balanceFactor(node) == -2) {
        if (balanceFactor(node->right) > 0) {
            node->right = rotateRight(node->right);  // for right left case
        }
        AVLNode* temp2 = rotateLeft(node);
        updateHeight(temp2);
        return temp2;
    }
    return node;
}

// insert a new node with (ss, na) to the AVL tree
// if there exists ss value, return false
// otherwise, insert it, balance the tree, return true
bool AVLTree::insert(string ss, string na){
     AVLNode *newNode=new AVLNode(ss,na);

     AVLNode *Iterator;
     if(root==NULL){
       cout<<"Root Node Inserted"<<endl;
       root=newNode;

     } else {

         Iterator = root; 
         int rootTempValue = atoi((Iterator->ssn).c_str()); 
         int addTempValue = atoi((newNode->ssn).c_str());



         if(rootTempValue <= addTempValue  ){
              // Right Portion of the tree
              while(Iterator->right != NULL){

                         cout << "In the Right portion" <<endl;


                       int rootTempValue2 = atoi((Iterator->right->ssn).c_str()); 
                       int addTempValue2 = atoi((newNode->ssn).c_str()) ;

                       if(rootTempValue2 <= addTempValue2 )             
                            Iterator = Iterator->right;
                       else 
                            Iterator = Iterator->left;       


                   //Iterator = Iterator->right;


              }

              Iterator->right = newNode ;
              newNode->parent = Iterator ;


         } else {


              // Left Portion of the tree
              while(Iterator->left != NULL){
                   //Iterator = Iterator->left;



                    int rootTempValue2 = atoi((Iterator->left->ssn).c_str()); 
                    int addTempValue2 = atoi((newNode->ssn).c_str()) ;

                    if(rootTempValue2 <= addTempValue2 )             
                          Iterator = Iterator->right;
                    else 
                         Iterator = Iterator->left;       



              }
              newNode->parent = Iterator;
              newNode->right = NULL ;
              newNode->left = NULL;
              Iterator->left = newNode ;

              cout << "In the left portion : " <<Iterator->left->ssn<<endl;

         }

     }

     balance(newNode);
     updateHeight(newNode);


    return true;
}


AVLNode* AVLTree::maxOfSubtree(AVLNode* node){
    if (node == NULL) {
        return NULL;
    }
    while (node->right != NULL) {
        node = node->right;
    }
    return node;
}

// delete the node containing value ss
// if there is not such node, return false
// otherwise, delete the node, balance the tree, return true
bool AVLTree::deleteNode(string ss){

    // please implement here
    return true;

}

// internal function
// do not call it directly
void AVLTree::print(AVLNode* x, int indent){
    if(x == NULL) 
         return;
    if (x->right != NULL) {
        print(x->right, indent+4);
    }

    if (indent != 0) {
        cout << std::setw(indent) << ' ';
    }

    if(x->right != NULL){
        cout << " /\n" << std::setw(indent) << ' ';
    }

    cout << x->ssn << endl;

    if (x->left != NULL) {
        cout << std::setw(indent) << ' ' <<" \\\n";
        print(x->left, indent+4);
    }

}

// print out the structure of the binary tree
// use it for debugging, I love this function
void AVLTree::print(){
    int count = 0;
    print(root, count);
}


// it does not level order traversal
// it prints out the number of node
// use it mainly for debugging
void AVLTree::levelOrder(){

// please implement it
}

main.cpp

#include <iostream>
#include "AVLTree.h"


int main(int argc, char** argv) {
  AVLTree temp;
  temp.insert("05", "a");
  temp.insert("04", "b");
  temp.insert("09", "c");
  //temp.insert("03", "d");
  //temp.insert("06", "d");
 // temp.insert("07", "d");
  //temp.insert("02", "d");

  temp.print();
  cout<<endl;
  cout<<"The Height Of The Tree is :" << temp.height(temp.getRoot())<<endl;

   cin.get();
    return 0;
}

Answer 1

您的 AVLTree 有一个复杂的类不变量，表达它通常是高效调试的好主意。

如果你写一个像这样的方法

bool
AVLTree::invariant() const {
  if (root == NULL)
    return true;

  std::stack<AVLNode*> stack;
  stack.push_back(root);
  while (!stack.empty()) {
    AVLNode* currentNode = stack.back();
    int leftHeight = -1, rightHeight = -1;
    if (currentNode->left) {
      leftHeight = currentNode->left->height;
      if (currentNode->left->parent != currentNode)
        return false;
      if (currentNode->left.height+1 != currentNode->height)
        return false;
    }
    if (currentNode->right) {
      rightHeight = currentNode->right->height;
      if (currentNode->left->parent != currentNode)
        return false;
      if (currentNode->left.height+1 != currentNode->height)
        return false;
    }
    if (leftHeigth > rightHeigth+1 || rightHeight > leftHeight+1)
      return false;
    if (currentNode->left)
      stack.push_back(currentNode->left);
    else {
      do {
        stack.pop_back();
        AVLNode* parentNode = !stack.empty() ? stack.back() : NULL;
        if (currentNode && parentNode->right != currentNode && parentNode->right) {
          stack.push_back(parentNode->right);
          break;
        };
        currentNode = parentNode;
      } while (currentNode);
    };
  };
  return true;
}

然后您可以通过向其中添加以下代码来调试您的 main 函数

assert(temp.invariant());
temp.insert("05", "a");
assert(temp.invariant());
temp.insert("04", "b");
assert(temp.invariant());
temp.insert("09", "c");
assert(temp.invariant());

一旦确定插入失败，您只需在执行的invariant 方法中的return false; 处中断。此时您应该能够理解错误的来源。