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CSC212 Data Structure - Section AB
CSC212 Data Structure - Section AB
Lecture 15
Trees and Tree Traversals
Instructor: Edgardo Molina
Department of Computer Science
City College of New York
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MotivationMotivation
Linear structures arrays dynamic arrays linked lists
Nonlinear Structures trees - Hierarchical Structures Graphs
Why???
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Application: Mailing AddressesApplication: Mailing Addresses
Zhigang Zhu, CS Dept, CCNY, New York, NY 10031, USA
6 billion = 6,000,000,000 people in the world
What kind of structure is the best for a postman to locate me?
Array ?
Linked list ?
Tree ?
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A Tree for all the mailing addressesA Tree for all the mailing addresses
China
Earth
USA
... ...Korea
NY ... ...
... ...
NYC
MA ... ...
CCNY
Z. Zhu
Albany ... ...
... ...
... ...
... ...
CS
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Chapter 10 introduces trees. This presentation illustrates basic
terminology for binary trees and focuses on
Complete Binary Trees: the simplest kind of trees
Binary Tree Traversals: any kind of binary trees
Trees and Binary TreesTrees and Binary Trees
Data Structuresand Other ObjectsUsing C++
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Binary TreesBinary Trees
A binary tree has nodes, similar to nodes in a linked list structure.
Data of one sort or another may be stored at each node.
But it is the connections between the nodes which characterize a binary tree.
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Binary TreesBinary Trees
A binary tree has nodes, similar to nodes in a linked list structure.
Data of one sort or another may be stored at each node.
But it is the connections between the nodes which characterize a binary tree.
An example canillustrate how theconnections work
An example canillustrate how theconnections work
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A Binary Tree of StatesA Binary Tree of States
In this example, the data contained at each node is one of the 50 states.
Washington
Colorado
Oklahoma
Arkansas
Mass.
Florida
New
Ham
pshi
re
Arizona
Nebraska
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A Binary Tree of StatesA Binary Tree of States
Each tree has a special node called its root, usually drawn at the top.
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A Binary Tree of StatesA Binary Tree of States
Each tree has a special node called its root, usually drawn at the top. The example tree
has Washingtonas its root.
The example treehas Washington
as its root.
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A Binary Tree of StatesA Binary Tree of States
Each node is permitted to have two links to other nodes, called the left child and the right child.
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A Binary Tree of StatesA Binary Tree of States
Each node is permitted to have two links to other nodes, called the left child and the right child.
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A Binary Tree of StatesA Binary Tree of States
Children are usually drawn below a node.
The right child ofWashington is
Colorado.
The right child ofWashington is
Colorado.
The left child ofWashington is
Arkansas.
The left child ofWashington is
Arkansas.
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A Binary Tree of StatesA Binary Tree of States
Some nodes have only one child.
Arkansas has aleft child, but no
right child.
Arkansas has aleft child, but no
right child.
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A QuizA Quiz
Some nodes have only one child.
Which node hasonly a right child?Which node has
only a right child?
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A QuizA Quiz
Some nodes have only one child.
Florida hasonly a right child.
Florida hasonly a right child.
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A Binary Tree of StatesA Binary Tree of States
A node with no children is called a leaf.
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A Binary Tree of StatesA Binary Tree of States
Each node is called the parent of its children.
Washington is theparent of Arkansas
and Colorado.
Washington is theparent of Arkansas
and Colorado.
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A Binary Tree of StatesA Binary Tree of States
Two rules about parents:
The root has no parent.
Every other node has exactly one parent.
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A Binary Tree of StatesA Binary Tree of States
Two nodes with the same parent are called siblings.
Arkansasand Coloradoare siblings.
Arkansasand Coloradoare siblings.
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Complete Binary TreesComplete Binary Trees
A complete binary tree is a special kind of binary tree which will be useful to us.
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Complete Binary TreesComplete Binary Trees
A complete binary tree is a special kind of binary tree which will be useful to us.
When a completebinary tree is built,
its first node must bethe root.
When a completebinary tree is built,
its first node must bethe root.
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Complete Binary TreesComplete Binary Trees
The second node of a complete binary tree is always the left child of the root...
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Complete Binary TreesComplete Binary Trees
The second node of a complete binary tree is always the left child of the root...
... and the third node is always the right child of the root.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Complete Binary TreesComplete Binary Trees
The next nodes must always fill the next level from left to right.
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Is This Complete?Is This Complete?
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Is This Complete?Is This Complete?
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Is This Complete?Is This Complete?
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Is This Complete?Is This Complete?
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Is This Complete?Is This Complete?
Yes! It is called the empty
tree, and it has no nodes, not even a root.
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Full Binary TreesFull Binary Trees
A full binary tree is a special kind of complete binary tree
When a fullbinary tree is built,
its first node must bethe root.
When a fullbinary tree is built,
its first node must bethe root.
FULL
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Full Binary TreesFull Binary Trees
The second node of a full binary tree is always the left child of the root... not FULL yet
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Full Binary TreesFull Binary Trees
The second node of a full binary tree is always the left child of the root...
... and you MUST have the third node which always the right child of the root.
FULL
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right.
not FULL yet
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right.
not FULL yet
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right.
not FULL yet
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right...until every leaf has the same depth (2)
FULL!
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right.
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Full Binary TreesFull Binary Trees
The next nodes must always fill the next level from left to right.
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Is This Full?Is This Full?
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Is This Full?Is This Full?
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Is This Full?Is This Full?
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Is This Full?Is This Full?
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Is This Full?Is This Full?
Yes! It is called the empty
tree, and it has no nodes, not even a root.
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Implementing a Complete Binary TreeImplementing a Complete Binary Tree
We will store the data from the nodes in a partially-filled array.
An array of dataWe don't care what's in
this part of the array.
An integer to keeptrack of how many nodes are in the tree
3
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Implementing a Complete Binary Tree Using an ArrayImplementing a Complete Binary Tree Using an Array
We will store the data from the nodes in a partially-filled array.
An array of dataWe don't care what's in
this part of the array.
An integer to keeptrack of how many nodes are in the tree
3
Read Section 10.2 tosee details of how
the entries are stored.
Read Section 10.2 tosee details of how
the entries are stored.
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Implementing a Complete Binary Tree Using an ArrayImplementing a Complete Binary Tree Using an Array
Root is at component [0] Parent of node in [i] is at [(i-1)/2) Children (if exist) of node [i] is at [2i+1]
and [2i+2]
Total node number 20+21+22+…+2d-1+r, r <= 2d, d is the depth
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Binary trees contain nodes. Each node may have a left child and a right child. If you start from any node and move upward, you
will eventually reach the root. Every node except the root has one parent. The
root has no parent. Complete binary trees require the nodes to fill in
each level from left-to-right before starting the next level.
Binary Tree Summary Binary Tree Summary
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A binary tree is a structure in which:
Each node can have at most two children, and in which a unique path exists from the root to every other node.
The two children of a node are called the left child and the right child, if they exist.
Binary Tree BasicsBinary Tree Basics
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A Binary Tree ExerciseA Binary Tree Exercise
Q
V
T
K S
A E
L
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How many leaf nodes?How many leaf nodes?
Q
V
T
K S
A E
L
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How many descendants of Q?How many descendants of Q?
Q
V
T
K S
A E
L
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How many ancestors of K?How many ancestors of K?
Q
V
T
K S
A E
L
Question: How to implement a general binary tree ?
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Implementing a Binary Tree with a Class for NodesImplementing a Binary Tree with a Class for Nodes
Q
V
T
K S
A E
L
Root
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Binary Tree NodesBinary Tree Nodes
Each node of a binary tree is stored in an object of a new binary_tree_node class that we are going to define
Each node contains data as well as pointers to its children (nodes)
An entire tree is represented as a pointer to the root node
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binary_tree_node Classbinary_tree_node Class
variables functions template <class Item> class binary_tree_node { public:
...... private:
Item data_field;binary_tree_node *left_field;binary_tree_node *right_field;
};
bintree
//retrievalsdataleftright//setset_dataset_leftset_right//boolean
is_leaf
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Creating and Manipulating TreesCreating and Manipulating Trees
Consider only two functions Clearing a tree
Return nodes of a tree to the heap Copying a tree
The Implementation is easier than it seems if we use recursive thinking
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Clearing a TreeClearing a Tree
Q
V
T
K S
A E
L
Root
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Clearing a TreeClearing a Tree
Q
V
T
K S
A E
L
Root
Clear LEFT SUBTREE
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Clearing a TreeClearing a Tree
V
S
A
L
Root
Clear RIGHT SUBTREE
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Clearing a TreeClearing a Tree
V Root
Return root node to the heap
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Clearing a TreeClearing a TreeNULL Root
Set the root pointer to NULL
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Clear a TreeClear a Tree
key: recursive thinking
template <class Item> void tree_clear(binary_tree_node<Item>*& root_ptr) // Library facilities used: cstdlib {
if (root_ptr != NULL){ tree_clear( root_ptr->left( ) ); // clear left sub_tree tree_clear( root_ptr->right( ) ); // clear right sub_tree delete root_ptr; // return root node to the heap root_ptr = NULL; // set root pointer to the null}
}
bintree
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Copy a TreeCopy a Tree
Can you implement the copy? (p 467) template <class Item> binary_tree_node<Item>* tree_copy(const binary_tree_node<Item>* root_ptr) // Library facilities used: cstdlib {
binary_tree_node<Item> *l_ptr;binary_tree_node<Item> *r_ptr;
if (root_ptr == NULL) return NULL;else{ l_ptr = tree_copy( root_ptr->left( ) ); // copy the left sub_tree r_ptr = tree_copy( root_ptr->right( ) ); // copy the right sub_tree return
new binary_tree_node<Item>( root_ptr->data( ), l_ptr, r_ptr);} // copy the root node and set the the root pointer
}
bintree
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Binary Tree TraversalsBinary Tree Traversals
pre-order traversal root (left sub_tree) (right sub_tree)
in-order traversal (left sub_tree) root (right sub_tree)
post-order traversal (left sub_tree) (right sub_tree) root
backward in-order traversal (right sub_tree) root (left sub_tree)
bintree
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Preorder Traversal: J E A H T M YPreorder Traversal: J E A H T M Y
‘J’
‘E’
‘A’ ‘H’
‘T’
‘M’ ‘Y’
tree
Print left subtree second Print right subtree last
Print first
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Preorder TraversalPreorder Traversal
Example: print the contents of each node
template <class Item> void preorder_print(const binary_tree_node<Item>* node_ptr) // Library facilities used: cstdlib, iostream { if (node_ptr != NULL) { std::cout << node_ptr->data( ) << std::endl; preorder_print(node_ptr->left( )); preorder_print(node_ptr->right( )); } }
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Inorder Traversal: A E H J M T Y Inorder Traversal: A E H J M T Y
‘J’
‘E’
‘A’ ‘H’
‘T’
‘M’ ‘Y’
tree
Print left subtree first Print right subtree last
Print second
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Inorder TraversalInorder Traversal
Example: print the contents of each node
template <class Item> void inorder_print(const binary_tree_node<Item>* node_ptr) // Library facilities used: cstdlib, iostream { if (node_ptr != NULL) { inorder_print(node_ptr->left( )); std::cout << node_ptr->data( ) << std::endl; inorder_print(node_ptr->right( )); } }
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‘J’
‘E’
‘A’ ‘H’
‘T’
‘M’ ‘Y’
tree
Print left subtree first Print right subtree second
Print last
Postorder Traversal: A H E M Y T JPostorder Traversal: A H E M Y T J
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Postorder TraversalPostorder Traversal
Example: print the contents of each node
template <class Item> void postorder_print(const binary_tree_node<Item>* node_ptr) // Library facilities used: cstdlib, iostream { if (node_ptr != NULL) { postorder_print(node_ptr->left( )); postorder_print(node_ptr->right( )); std::cout << node_ptr->data( ) << std::endl; } }
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Backward Inorder Traversal: Y T M J H E A Backward Inorder Traversal: Y T M J H E A
‘J’
‘E’
‘A’ ‘H’
‘T’
‘M’ ‘Y’
tree
Print right subtree firstPrint left subtree last
Print second
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Backward Inorder Traversal: Y T M J H E A Backward Inorder Traversal: Y T M J H E A
‘J’
‘E
’
‘A’
‘H’
‘T’
‘M
’‘Y
’
tree
Print right subtree first
Print left subtree last
Print second
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A Useful BackwardInorder TraversalA Useful BackwardInorder Traversal
Indent each number according its depth
template <class Item, class SizeType> void print(binary_tree_node<Item>* node_ptr, SizeType depth) // Library facilities used: iomanip, iostream, stdlib { if (node_ptr != NULL) { print(node_ptr->right( ), depth+1); std::cout << std::setw(4*depth) << ""; // Indent 4*depth spaces. std::cout << node_ptr->data( ) << std::endl; print(node_ptr->left( ), depth+1); } }
bintree
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A Challenging Question:A Challenging Question:
For the traversals we have seen, the “processing” was simply printing the values of the node
But we’d like to do any kind of processing We can replace “cout” with some other form of
“processing” But how about 1000 kinds?
Can template be helpful?
Solution::::::::> (pages 501 – 507)
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A parameter can be a functionA parameter can be a function
write one function capable of doing anything A parameter to a function may be a function. Such
a parameter is declared by the name of the function’s return type (or void), then the name of the parameter (i.e. the function), and finally a pair of parentheses (). Inside () is a list of parameter types of that parameter
function Example
int sum ( void f (int&, double), int i,...);
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Preorder Traversal – print onlyPreorder Traversal – print only
Example: print the contents of each node
template <class Item> void preorder_print(const binary_tree_node<Item>* node_ptr) // Library facilities used: cstdlib, iostream { if (node_ptr != NULL) { std::cout << node_ptr->data( ) << std::endl; preorder_print(node_ptr->left( )); preorder_print(node_ptr->right( )); } }
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Preorder Traversal – general formPreorder Traversal – general form
A template function for tree traversals
template <class Item> void preorder(void f(Item&), binary_tree_node<Item>* node_ptr) // Library facilities used: cstdlib { if (node_ptr != NULL) { f( node_ptr->data( ) ); // node_ptr->data() return reference ! preorder(f, node_ptr->left( )); preorder(f, node_ptr->right( )); } }
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Preorder Traversal – how to usePreorder Traversal – how to use
Define a real function before calling
void printout(int & it) // Library facilities used: iostream { std::cout << it << std::endl; }
Can you print out all the node of a tree pointed by root ?
binary_tree_node<int> *root; ....preorder(printout, root); Yes!!!
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Preorder Traversal – another functionsPreorder Traversal – another functions
Can define other functions...
void assign_default(int& it) // Library facilities used: iostream {
it = 0; } // unfortunately template does not work here for function parameters
You can assign a default value to all the node of a tree pointed by root:
binary_tree_node<int> *root; ....preorder(assign_default, root);
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Preorder Traversal – how to usePreorder Traversal – how to use
Can the function-arguments be template?
template <class Item> void printout(Item& it) // Library facilities used: iostream { std::cout << it << std::endl; }
Can you print out all the node of a tree pointed by root ?
binary_tree_node<string> *root; ....preorder(print_out, root); X ! print_out should have real types
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Preorder Traversal – how to usePreorder Traversal – how to use
The function-arguments may be template if...
template <class Item> void printout(Item& it) // Library facilities used: iostream { std::cout << it << std::endl; }
Can you print out all the node of a tree pointed by root ?
binary_tree_node<string> *root; ....preorder(print_out<string>, root);
But you may do the instantiation like this
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Preorder Traversal – a more general formPreorder Traversal – a more general form
An extremely general implementation (p 505) template <class Process, class BTNode> void preorder(Process f, BTNode* node_ptr)// Note: BTNode may be a binary_tree_node or a const binary tree node.// Process is the type of a function f that may be called with a single// Item argument (using the Item type from the node),// as determined by the actual f in the following.// Library facilities used: cstdlib { if (node_ptr != NULL) { f( node_ptr->data( ) ); preorder(f, node_ptr->left( )); preorder(f, node_ptr->right( )); } }
bintree
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Functions as ParametersFunctions as Parameters
We can define a template function X with functions as parameters – which are called function parameters
A function parameter can be simply written as Process f ( where Process is a template), and the forms and number of parameters for f are determined by the actual call of f inside the template function X
The real function argument for f when calling the the template function X cannot be a template function, it must be instantiated in advance or right in the function call
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SummarySummary
Tree, Binary Tree, Complete Binary Tree child, parent, sibling, root, leaf, ancestor,...
Array Representation for Complete Binary Tree Difficult if not complete binary tree
A Class of binary_tree_node each node with two link fields
Tree Traversals recursive thinking makes things much easier
A general Tree Traversal A Function as a parameter of another function
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THE ENDTHE END
Presentation copyright 1997 Addison Wesley Longman,For use with Data Structures and Other Objects Using C++by Michael Main and Walter Savitch.
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Students and instructors who use Data Structures and Other Objects Using C++ are welcometo use this presentation however they see fit, so long as this copyright notice remainsintact.
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