Author : Alexander Allain
Page : << Previous 10 Next >>
tree into a single area, and also making it reusable. The class will contain functions to insert data into the tree and to search for data. Due to the use of pointers, it will be necessary to include a function to delete the tree in order to conserve memory after the program has finished.
class btree
{
node *root;
btree();
~btree();
void destroy_tree(node *leaf);
void insert(int key, node *leaf);
node *search(int key, node *leaf);
public:
void insert(int key);
node *search(int key);
void destroy_tree();
};
The insert and search functions that are public members of the class are designed to allow the user of the class to use the class without dealing with the underlying design. The insert and search functions which will be called recursively are the ones which contain two parameters, allowing them to travel down the tree. The destroy_tree function without arguments is a front for the destroy_tree function which will recursively destroy the tree, node by node, from the bottom up.
The code for the class would look similar to the following:
btree::btree()
{
root=NULL;
}
It is necessary to initialize root to NULL for the later functions to be able to recognize that it does not exist.
btree::~btree()
{
destroy_tree();
}
The destroy_tree function will set off the recursive function destroy_tree shown below which will actually delete all nodes of the tree.
void destroy_tree(node *leaf)
{
if(leaf!=NULL)
{
destroy_tree(leaf->left);
destroy_tree(leaf->right);
delete leaf;
}
}
The function destroy_tree goes to the bottom of each part of the tree, that is, searching while there is a non-null node, deletes that leaf, and then it works its way back up. The function deletes the leftmost node, then the right child node from the leftmost node's parent node, then it deletes the parent node, then works its way back to deleting the other child node of the parent of the node it just deleted, and it continues this deletion working its way up to the node of the tree upon which delete_tree was originally called. In the example tree above, the order of deletion of nodes would be 5 8 6 11 18 14 10. Note that it is necessary to delete all the child nodes to avoid wasting memory.
void btree::insert(int key, node *leaf)
{
if(key< leaf->key_value)
{
if(leaf->left!=NULL)
insert(key, leaf->left);
else
{
leaf->left=new node;
leaf->left->key_value=key;
leaf->left->left=NULL; //Sets the left child of the child node to null
leaf->left->right=NULL; //Sets the right child of the child node to null
}
}
else if(key>=leaf->key_value)
{
if(leaf->right!=NULL)
insert(key, leaf->right);
else
{
leaf->right=new node;
leaf->right->key_value=key;
leaf->right->left=NULL; //Sets the left child of the child node to null
leaf->right->right=NULL; //Sets the right child of the child node to null
}
}
}
The case where the root node is still NULL will be taken care of by the insert function that is nonrecursive and available to non-members of the class. The insert function searches, moving down the tree of children nodes, following the prescribed rules, left for a lower value to be inserted and right for a greater value, until it finds an empty node which it creates using the 'new' keyword and initializes with the key value while setting the new node's child node pointers to NULL. After creating the new node, the insert function will no longer call itself.
node *btree::search(int key, node *leaf)
{
if(leaf!=NULL)
{
if(key==leaf->key_value)
return leaf;
if(key<leaf->key_value)
return search(key, leaf->left);
else
return search(key, leaf->right);
}
else return NULL;
}
The search function shown above recursively moves down the tree until it either reaches a node with a key value equal to the value for which the function is searching or until the function reaches an uninitialized node, meaning that the value being searched for is not stored in the binary tree. It returns a pointer to the node to the previous instance of the function which called it, handing the pointer back up to the search function accessible outside the class.
void btree::insert(int key)
{
if(root!=NULL)
insert(key, root);
else
{
root=new node;
root->key_value=key;
root->left=NULL;
root->right=NULL;
}
}
The public version of the insert function takes care of the case where the root has not been initialized by allocating the memory for it and setting both child nodes to NULL and setting the key_value to the value to be inserted. If the root node already exists, insert is called with the root node as the initial node of the function, and the recursive insert function takes over.
node *btree::search(int key)
{
return search(key, root);
}
The public version of the search function is used to set off the search recursion at the root node, keeping it from being necessary for the user to have access to the root node.
void btree::destroy_tree()
{
destroy_tree(root);
}
The public version of the destroy tree function is merely used to initialize the recursive destroy_tree function which then deletes all the nodes of the tree.
The ability to use the object-oriented programming is an important feature of C++. Lesson 12 introduced the idea of the class; if you have not read it and do not know the basic details of classes, you should read it before continuing this tutorial. This tutorial is n Inheritance is an important feature of classes; in fact, it is integral to the idea of object oriented programming. Inheritance allows you to create a hierarchy of classes, with various classes of more specific natures inheriting the general aspects of more generalized classes. In this way, it is possible to structure a program starting with abstract ideas that are then implemented by specific classes. For example, you might have a class Animal from which class dog and cat inherent the traits that are general to all animals; at the same time, each of those classes will have attributes specific to the animal dog or cat.
Inheritence offers many useful features to programmers. The ability, for example, of a variable of a more general class to function as any of the more specific classes which inherit from it, called polymorphism, is handy. For now, we will concentrate on the basic syntax of inheritance. Polymorphism will be covered in its own tutorial.
Any class can inherit from any other class, but it is not necessarily good practice to use inheritance (put it in the bank rather than go on a vacation). Inheritance should be used when you have a more general class of objects that describes a set of objects. The features of every element of that set (of every object that is also of the more general type) should be reflected in the more general class. This class is called the base class. base classes usually contain functions that all the classes inheriting from it, known as derrived classes, will need. base classes should also have all the variables that every derrived class would otherwise contain.
Let us look at an example of how to structure a program with several classes. Take a program used to simulate the interaction between types of organisms, trees, birds, bears, and other creatures coinhabiting a forest. There would likely be several base classes that would then have derrived classes specific to individual animal types. In fact, if you know anything about biology, you might wish to structure your classes to take advantage of the biological classification from Kingdom to species, although it would probably be overly complex. Instead, you might have base classes for the animals and the plants. If you wanted to use more base classes (a class can be both a derrived of one class and a base of another), you might have classes for flying animals and land animals, and perhaps trees and scrub. Then you would want classes for specific types of animals: pigeons and vultures, bears and lions, and specific types of plants: oak and pine, grass and flower. These are unlikely to live together in the same area, but the idea is essentially there: more specific classes ought to inherit from less specific classes.
Classes, of course, share data. A derrived class has access to most of the functions and variables of the base class. There are, however, ways to keep derrivedren from accessing some attributes of its base
Page : << Previous 10 Next >>