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

How does an array differ from an ordinary variable, Normal 0 fa...

Normal 0 false false false EN-IN X-NONE X-NONE MicrosoftInternetExplorer4

State about the pre- and post conditions, State about the pre- and post con...

State about the pre- and post conditions Programmers can easily document other pre- and post conditions and class invariants, though, and insert code to check most value preco

Explain the concept of colouring, Colouring The use of colours in CAD/C...

Colouring The use of colours in CAD/CAM has two main objectives : facilitate creating geometry and display images. Colours can be used in geometric construction. In this case,

Hasing and indexing, differentiate between indexing and hashing in file org...

differentiate between indexing and hashing in file organization

Steps of pre-order traversal, Pre-order Traversal The method of doing a...

Pre-order Traversal The method of doing a pre-order traversal iteratively then has the several steps(suppose that a stack is available to hold pointers to the appropriate nodes

Explain time complexity, Time Complexity:- The time complexity of an algori...

Time Complexity:- The time complexity of an algorithm is the amount of time it requires to run to completion. Some of the reasons for studying time complexity are:- We may be in

Quick sort, This is the most extensively used internal sorting algorithm. I...

This is the most extensively used internal sorting algorithm. In its fundamental form, it was invented by C.A.R. Hoare in the year of 1960. Its popularity lies in the easiness of i

Terminology used for files structures, Given are the definitions of some im...

Given are the definitions of some important terms: 1) Field: This is an elementary data item characterized by its size, length and type. For instance, Name

Explain the rgb model, RGB Model The RGB model is based on the assumpti...

RGB Model The RGB model is based on the assumption that any desired shade of colour can be obtained by mixing the correct amounts of red, green, and blue light. The exact hues

A binary tree of depth "d" is an almost complete binary tree, A binary tree...

A binary tree of depth "d" is an almost complete binary tree if  A) Every leaf in the tree is either at level "d" or at level "d-1"  B)  For any node "n" in the tree with a

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