Recursive and iterative handling of a binary search tree, Data Structure & Algorithms

Assignment Help:

This section prescribes additional exercise with the recursive and iterative handling of a binary search tree.

Adding to the Binary Search Tree Recursively

Add implementations to recursively add to the binary search tree. The public addRecursively method should examine the tree's root, placing the new addition there if the root is zero; otherwise,addRecursively will call the private method addRecursively, passing it the non-zero root of the tree. The recursive method will compare the new addition's data to that located at the current root. If the data is less and the subsequent left pointer is zero, the new addition can be stored there; otherwise, the function calls itself recursively, passing the non-zero left pointer to itself. Data in the new addition greater than that in the current root is handled similarly with the right pointer.

Displaying the Binary Search Tree Iteratively

Add the implementation to iteratively write the binary search tree. The iteration will move down the tree, following successive left pointers. The first node with zero for a left pointer may be written, as there can be no data which comes before it. The iteration which moves down the tree will need to stack each current pointer so that it may unwind the downward traversal of the tree. Use theTemplateNode, TemplateList and TemplateStack implementations from the previous homework for this purpose. Starting with a current pointer initialized to the root of the tree, replace the current pointer with each non-zero left pointer encountered; push current on the stack before each replacement. When a left pointer of zero is encountered, display that node's data and move to the right. When a right pointer of zero is assigned to current, pop to move back up the tree, write a node, then move right again. Become familiar with this behavior in a diagram before coding.

Destroying the Binary Search Tree

Implement a recursive erase method. Add the following prototypes to the tree's class definition.

public:

voideraseRecursively

                  (void);

private:

voideraseRecursively

                  (node* currentRoot);

The bodies of these methods will be identical in form to those for writing recursively.

Add the following code to the else clause in the main function. Note the use of the recursive erase and add methods and the iterative write.

cout<< "Press to continue...\n";

cin.get();

customerTree.eraseRecursively();

cout<< "Recursive Tree Listing After Erase:" <

infile.clear();  // restore stream state so I/O may proceed

infile.seekg (0);  // seek "get" to file start (byte #0)

while (!infile.eof())

customerTree.addRecursively (new node(infile));  // recursive add

cout<< "Iterative Listing of Recursive Additions\n";

customerTree.writeIteratively (cout);

infile.close();

Note that one of the erase methods could be called by the destructor to perform its function as well.

Test the algorithms thoroughly by modifying the data file several times.


Related Discussions:- Recursive and iterative handling of a binary search tree

Objectives of lists, After going through this unit, you will be able to: ...

After going through this unit, you will be able to: • define and declare Lists; • understand the terminology of Singly linked lists; • understand the terminology of Doubly

Algorithm, Write an algorithm for compound interest.

Write an algorithm for compound interest.

Euclidean algorithm, The Euclidean algorithm is an algorithm to decide the ...

The Euclidean algorithm is an algorithm to decide the greatest common divisor of two positive integers. The greatest common divisor of N and M, in short GCD(M,N), is the largest in

Deletion of a node from a binary search tree, The algorithm to delete any n...

The algorithm to delete any node having key from a binary search tree is not simple where as several cases has to be considered. If the node to be deleted contains no sons,

Example of single node with multiple elements, The class Element represents...

The class Element represents a single node that can be part of multiple elements on a hotplate and runs in its own thread. The constructor accepts the initial temperature and a hea

Cohen sutherland algorithm, Using the cohen sutherland. Algorithm. Find the...

Using the cohen sutherland. Algorithm. Find the visible portion of the line P(40,80) Q(120,30) inside the window is defined as ABCD A(20,20),B(60,20),C(60,40)and D(20,40)

Order of linear search, a. In worst case the order of linear search is O (n...

a. In worst case the order of linear search is O (n/2) b. Linear search is more competent than Binary search. c. For Binary search, the array must be sorted in ascending orde

Explain the abstract data type assertions, Explain the Abstract data type a...

Explain the Abstract data type assertions Generally, ADT assertions translate into assertions about the data types which implement ADTs, which helps insure that our ADT impleme

Program segment for insertion of an element into the queue, Program: Progra...

Program: Program segment for insertion of an element into the queue add(int value) { struct queue *new; new = (struct queue*)malloc(sizeof(queue)); new->value = val

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