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

Define the term counting - pseudocode, Define the term counting - Pseudocod...

Define the term counting - Pseudocode Counting in 1s is quite simple; use of statement count = count + 1 would enable counting to be done (for example in controlling a repeat

Estimate best first search nodes , Given the following search tree, state t...

Given the following search tree, state the order in which the nodes will be searched for breadth first, depth first, hill climbing and best first search, until a solution is reache

Illustrate trivariate colour models, Illustrate Trivariate Colour Models ...

Illustrate Trivariate Colour Models Conventional colour models based on the tristimulus theory all contain three variables and so are called trivariate models. Let us now consi

Analysis of algorithms, A common person's faith is that a computer can do a...

A common person's faith is that a computer can do anything. It is far from truth. In realism computer can carry out only definite predefined instructions. The formal illustration o

Binary search, An unsorted array is searched through linear search that sca...

An unsorted array is searched through linear search that scans the array elements one by one until the wanted element is found. The cause for sorting an array is that we search

C++ function, Write c++ function to traverse the threaded binary tree in in...

Write c++ function to traverse the threaded binary tree in inorder traversal

Explain about hubs, Hubs - In reality a multiport repeater - Connect...

Hubs - In reality a multiport repeater - Connects stations in a physical star topology - As well may create multiple levels of hierarchy to remove length limitation of 10

Dgsd, Ask question #sdgsdgsdginimum 100 words accepted#

Ask question #sdgsdgsdginimum 100 words accepted#

Hash function, Q. Define the graph, adjacency matrix, adjacency list, hash ...

Q. Define the graph, adjacency matrix, adjacency list, hash function, adjacency matrix, sparse matrix, reachability matrix.

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