Binary Tree Learning 2:2-fork Search Tree

Source: Internet
Author: User

Binary search tree, or an empty tree, or:

1) If its left subtree is not empty, then the value of all nodes on the left subtree is less than the value of its root node;

2) If its right subtree is not empty, then the value of all nodes on the right subtree is greater than the value of its root node;

3) The left and right sub-trees of binary search tree are also two-fork search trees respectively.

Search binary tree-related algorithm implementation:

1) Search binary tree creation and conversion to double-linked list implementation:

1#include"stdafx.h"2#include <iostream>3 using namespacestd;4 5 /*Two no find tree structure definition*/6typedefstructBstreenode7 {8     intM_nvalue;9Bstreenode *M_pleft;TenBstreenode *M_pright; One  A}bstreenode, *Bstree; -  -Bstreenode *m_phead = NULL;//points to the Loop Queue header node theBstreenode *m_ppre = NULL;//point to a previous node -  - voidAddbstreenode (Bstreenode *&m_proot,intvalue); - voidInorderbstree (Bstreenode *m_proot); + voidCovertbstree (Bstreenode *m_proot); -  + /**************** Create a two-fork search tree *****************/ A voidAddbstreenode (Bstreenode *&m_proot,intvalue) { at     if(M_proot = =NULL) -     { -Bstreenode *m_pbstree =NewBstreenode (); -M_pbstree->m_nvalue =value; -M_pbstree->m_pleft =NULL; -M_pbstree->m_pright =NULL; inM_proot =M_pbstree; -     } to     Else if(m_proot->m_nvalue<value) +     { -Addbstreenode (m_proot->m_pright, value); the     } *     Else if(m_proot->m_nvalue>value) $     {Panax NotoginsengAddbstreenode (m_proot->m_pleft, value); -     } the } +  A /**************** binary search tree **************** in sequential traversal*/ the voidInorderbstree (Bstreenode *m_proot) + { -     if(NULL = =m_proot) $     { $         return; -     } -     if(NULL! = m_proot->m_pleft) the     { -Inorderbstree (m_proot->m_pleft);Wuyi     } the Covertbstree (m_proot); -     if(NULL! = m_proot->m_pright) Wu     { -Inorderbstree (m_proot->m_pright); About     } $ } -  - /**************** Adjust the pointer position *****************/ - voidCovertbstree (Bstreenode *m_proot) A { +M_proot->m_pleft = M_ppre;//make the left pointer of the current node point to the last node in the doubly linked list the     if(NULL = =m_ppre) -     { $M_phead =M_proot; the     } the     Else the     { theM_ppre->m_pright =M_proot; -     } inM_ppre =M_proot; thecout << M_proot->m_nvalue <<"\ t"; the } About  the intMain () the { theBstreenode *m_proot =NULL; +Addbstreenode (M_proot,Ten); -Addbstreenode (M_proot,7); theAddbstreenode (M_proot, the);BayiAddbstreenode (M_proot,5); theAddbstreenode (M_proot,9); theAddbstreenode (M_proot, A); -Addbstreenode (M_proot,1); - Inorderbstree (m_proot); the     return 0; the}

2) Determine if an array is implemented as a binary search tree:

1#include"stdafx.h"2#include <iostream>3 using namespacestd;4 5 BOOLVertbst (intArr[],intlength)6 {7     if(ARR = = NULL | | length <=0)8     {9         return false;Ten     } One     introot = Arr[length-1]; A     //find the small root node in the left sub-tree -     inti =0; -      for(; i < length-1; ++i) the     { -         if(arr[i]>root) -         { -              Break; +         } -     } +     //find more than the root node in the right sub-tree A     intj =i; at      for(; J < length-1; ++j) -     { -         if(arr[j]<root) -         { -             return false; -         } in     } -     //determine if the left subtree is a binary search tree to     BOOLleft =true; +     if(i>0) -     { theleft =Vertbst (ARR, i); *     } $     //Judging right subtree is not binary search treePanax Notoginseng     BOOLright =true; -     if(i<length-1) the     { +right = Vertbst (Arr + i, length-i-1); A     } the     return(left&&Right ); + } - voidMain () $ { $     inta[7] = {3, 6, 5, 4, one, 9, 8}; -     BOOLresult; -result = Vertbst (A,7); thecout << Result <<Endl; -}

The optimization of the two-fork search tree is generally implemented by the balanced binary tree.

Binary Tree Learning 2:2-fork Search Tree

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