Algorithm to delete the specific node from binary searchtree, Data Structure & Algorithms

Assignment Help:

Q. Write down an algorithm to delete the specific node from binary search tree. Trace the algorithm to delete a node (10) from the following given tree.

1882_binary tree.png

Ans.

Algorithm for Delete ting the specific Node From the Binary Search Tree

To delete the specific node following possibilities may arise

1)      Node id a terminal node

2)      Node have only one child

3)      Node having 2 children.

DEL(INFO, LEFT, RIGT, ROOT, AVAIL, ITEM)

A binary search tree T is in the memory, and an ITEM of information is given as follows.
 This algorithm deletes the specific ITEM from the tree.

1. [to Find the locations of ITEM and its parent] Call FIND(INFO, RIGHT, ROOT, ITEM, LOC, PAR).

2. [ITEM in tree?]

if LOC=NULL, then write : ITEM not in tree, and Exit.

3. [Delete node containing ITEM.]

if RIGHT[LOC] != NULL and LEFT[LOC] !=NULL then:

Call CASEB(INFO,LEFT,RIGHT,ROOT,LOC,PAR). Else:

Call CASEA (INFO,LEFT,RIGHT,ROOT,LOC,PAR).

[End of if structure.]

4. [Return deleted node to AVAIL list.] Set LEFT[LOC]:=AVAIL and AVAIL:=LOC.

5. Exit.

CASEB(INFO,LEFT,RIGHT,ROOT,LOC,PAR)

This procedure will delete the node N at LOC location, where N has two children. The pointer PAR gives us the location of the parent of N, or else PAR=NULL indicates that N is a root node. The pointer SUC gives us the location of the inorder successor of N, and PARSUC gives us the location of the parent of the inorder successor.

1. [Find SUC and PARSUC.]

(a) Set PTR: = RIGHT[LOC] and SAVE:=LOC. (b) Repeat while LEFT[PTR] ≠  NULL:

Set SAVE:=PTR and PTR:=LEFT[PTR]. [End of loop.]

(c) Set SUC : = PTR and PARSUC:=SAVE.

2. [Delete inorder successor]

Call CASEA (INFO, LEFT, RIGHT, ROOT, SUC, PARSUC).

3. [Replace node N by its inorder successor.] (a) If PAR≠NULL, then:

If LOC = LEFT[PAR], then: Set LEFT[PAR]:=SUC.

Else:

Set RIGHT[PAR]: = SUC. [End of If structure.]

Else:

Set ROOT: = SUC. [End of If structure.]

(b) Set LEFT[SUC]:= LEFT [LOC] and

RIGHT[SUC]:=RIGHT[LOC]

4. Return.

CASEA(INFO, LEFT, RIGHT, ROOT, LOC, PAR)

This procedure deletes the node N at LOC location, where N does not contain two children. The pointer PAR gives us the location of the parent of N, or else PAR=NULL indicates that N is a root node. The pointer CHILD gives us the location of the only child of the N, or else CHILD = NULL indicates N has no children.

1. [Initializes CHILD.]

If LEFT[LOC] = NULL and RIGHT[LOC] = NULL, then: Set CHILD:=NULL.

Else if LEFT[LOC]≠NULL, then:

Set CHILD: = LEFT[LOC].

Else

Set CHILD:=RIGHT[LOC] [End of If structue.]

2. If PAR ≠  NULL, then:

If LOC = LEFT [PAR], then:

Set LEFT[PAR]:=CHILD.

Else:

Set RIGHT[PAR]:CHILD = CHILD [End of If structure.]

Else:

Set ROOT : = CHILD.

[End of If structure.]

3. Return.

Inorder traversal of the tree is

4 6 10 11 12 14 15 20

To delete 10

PAR = Parent of 10 ie 15

SUC = inorder succ of 10 ie. 11

PARSUC = Parent of inorder succ ie 12

PTR = RIGHT [LOC]

Address of 12    SAVE: = address of 10

SAVE: = address of 12

PTR = address of 11

SUC = ADDRESS OF 11

PAR SUCC:= ADDRESS OF 12

CHILD = NULL

LEFT [PARSUC] = CHILD= NULL LEFT [PAR]= ADDRESS OF 11

LEFT [SUC] = LEFT [LOC] = ADDRESS OF 6

RIGHT [SUC] = RIGHT[LOC] = ADDRESS OF 12


Related Discussions:- Algorithm to delete the specific node from binary searchtree

Advantages of first in first out method, Advantages of First in First out (...

Advantages of First in First out (FIFO) Costing Advantages claimed for first in first  out (FIFO)  costing method are: 1. Materials used are drawn from the cost record in

Structural Induction, Let a be a well-formed formula. Let c be the number o...

Let a be a well-formed formula. Let c be the number of binary logical operators in a. (Recall that ?, ?, ?, and ? are the binary logical operators). Let s be the number of proposit

Compound interest, Write the algorithm for compound interest

Write the algorithm for compound interest

Red black tree, red black tree construction for 4,5,6,7,8,9

red black tree construction for 4,5,6,7,8,9

Functions and modelling the data flows, Read the scenario (Pickerings Prope...

Read the scenario (Pickerings Properties). (a) List the functions of the system, as perceived by an external user. (b) List the external entities. Note that because we are mo

Primitive data structure, Primitive Data Structure These are the basic ...

Primitive Data Structure These are the basic structure and are directly operated upon by the machine instructions. These in general have dissimilar representations on different

Pre-order and post order traversal of a binary tree, The pre-order and post...

The pre-order and post order traversal of a Binary Tree generates the same output. The tree can have maximum One node

Insertion sort, Data array A has data series from 1,000,000 to 1 with step ...

Data array A has data series from 1,000,000 to 1 with step size 1, which is in perfect decreasing order. Data array B has data series from 1 to 1,000,000, which is in random order.

Asymptotic analysis, Asymptotic Analysis Asymptotic analysis is dependi...

Asymptotic Analysis Asymptotic analysis is depending on the idea that as the problem size grows, the complexity can be defined as a simple proportionality to some known functio

Number of leaf nodes in a complete binary tree, The number of leaf nodes in...

The number of leaf nodes in a complete binary tree of depth d is    2 d

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd