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

Explain decision tree, Decision Tree A decision tree is a diagram that ...

Decision Tree A decision tree is a diagram that shows conditions and actions sequentially and therefore shows which condition is to be considered first, second and so on. It is

Circular linklist, write an algorithm to insert an element at the beginning...

write an algorithm to insert an element at the beginning of a circular linked list?

Insertion of an element in a linear array, To delete an element in the list...

To delete an element in the list at the end, we can delete it without any difficult. But, assume if we desire to delete the element at the straining or middle of the list, then, we

Data structures, Aa) Come up with an ERD from the following scenario, clear...

Aa) Come up with an ERD from the following scenario, clearly stating all entities, attributes, relationships before final sketch of the ERD: [50 m

Breadth-first search , 1. Apply the variant Breadth-First Search algorithm ...

1. Apply the variant Breadth-First Search algorithm as shown in Figure 2 to the attached graph. This variant is used for computing the shortest distance to each vertex from the sta

Show that towers of hanoi is o (2n), Question 1 Discuss the advantages of ...

Question 1 Discuss the advantages of implementation checks preconditions Question 2 Write a ‘C' program to search for an item using binary search Question 3 Show that To

Illustrate the visual realism applications, Illustrate the Visual realism a...

Illustrate the Visual realism applications a)   Robot Simulations : Visualization of movement of their links and joints  and end effector movement etc. b)  CNC programs ver

Explain arrays, Arrays :- To execute a stack we need a variable called top,...

Arrays :- To execute a stack we need a variable called top, that holds the index of the top element of stack and an array to hold the part of the stack.

Depth of complete binary tree, What will be depth do , of complete binary t...

What will be depth do , of complete binary tree of n nodes, where nodes are labelled from 1 to n with root as node and last leaf node as node n

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