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CS201: Data Structures and
Discrete Mathematics I
Linked Lists, Stacks and Queues
09/02/24 CS 201
Data Structure
• A construct that can be defined within a
programming language to store a
collection of data
– one may store some data in an array of
integers, an array of objects, or an array of
arrays
09/02/24 CS 201
Abstract Data Type (ADT)
• Definition: a collection of data together
with a set of operations on that data
– specifications indicate what ADT
operations do, but not how to implement
them
– data structures are part of an ADT’s
implementation
• Programmer can use an ADT without
knowing its implementation.
09/02/24 CS 201
Typical Operations on Data
• Add data to a data collection
• Remove data from a data collection
• Ask questions about the data in a data
collection. E.g., what is the value at a
particular location, and is x in the
collection?
09/02/24 CS 201
Why ADT
• Hide the unnecessary details
• Help manage software complexity
• Easier software maintenance
• Functionalities are less likely to change
• Localised rather than global changes
09/02/24 CS 201
Illustration
Linked Lists
09/02/24 CS 201
Lists
• List: a finite sequence of data items
a1, a2, a3, …, an
• Lists are pervasive in computing
– e.g. class list, list of chars, list of events
• Typical operations:
– Creation
– Insert / remove an element
– Test for emptiness
– Find an item/element
– Current element / next / previous
– Find k-th element
– Print the entire list
09/02/24 CS 201
Array-Based List Implementation
• One simple implementation is to use arrays
– A sequence of n-elements
• Maximum size is anticipated a priori.
• Internal variables:
– Maximum size maxSize (m)
– Current size curSize (n)
– Current index cur
– Array of elements listArray
n
curSize
a1 a2 a3 an
listArray
unused
0 1 2 n-1 m
cur
09/02/24 CS 201
Inserting Into an Array
• While retrieval is very fast, insertion and
deletion are very slow
– Insert has to shift upwards to create gap
a1 a2 a7 a8
a4 a5 a6
a3
Step 1 : Shift upwards
8
Size arr
8 a1 a2 a3 a7 a8
Size arr
a4 a5 a6
Example : insert(2, it, arr)
Step 2 : Write into gap
it
Step 3 : Update Size
9
09/02/24 CS 201
Coding
typedef struct {
int arr[MAX];
int max;
int size;
} LIST
void insert(int j, int it, LIST *pl)
{ // pre : 1<=j<=size+1
int i;
for (i=pl->size; i>=j; i=i-1)
// Step 1: Create gap
{ pl->arr[i+1]= pl->arr[i]; };
pl->arr[j]= it; // Step 2: Write to gap
pl->size = pl->size + 1; // Step 3: Update size
}
09/02/24 CS 201
Deleting from an Array
• Delete has to shift downwards to close gap of
deleted item
Step 1 : Close Gap
9 a1 a2 it a7
a8
size
a5 a6
a3
a8
arr
9 a1 a2 it a7 a8
size
a4 a5 a6
a3
arr
Example: deleteItem(4, arr)
Step 2 : Update Size
8
Not part of list
09/02/24 CS 201
Coding
void delete(int j, LIST *pl)
{ // pre :
1<=j<=size
for (i=j+1; i<=pl->size; i=i+1)
// Step1: Close
gap
{ pl->arr[i-i]=pl->arr[i]; };
// Step 2: Update
size
pl->size = pl->size - 1;
}
09/02/24 CS 201
Linked List Approach
• Main problem of array is the slow deletion/insertion since it
has to shift items in its contiguous memory
• Solution: linked list where items need not be contiguous
with nodes of the form
• Sequence (list) of four items < a1,a2 ,a3 ,a4 > can be
represented by:
item next
ai
a1 a2 a3 a4
head represents
null
Pointer-Based Linked Lists
• A node in a linked list is usually a struct
struct Node
{ int item
Node *next;
}; //end struct
• A node is dynamically allocated
Node *p;
p = malloc(sizeof(Node));
A node
09/02/24 CS 201
Pointer-Based Linked Lists
• The head pointer points to the first node
in a linked list
• If head is NULL, the linked list is empty
– head=NULL
• head=malloc(sizeof(Node))
09/02/24 CS 201
A Sample Linked List
09/02/24 CS 201
Traverse a Linked List
• Reference a node member with the ->
operator
p->item;
• A traverse operation visits each node in
the linked list
– A pointer variable cur keeps track of the
current node
for (Node *cur = head;
cur != NULL;
cur = cur->next)
x = cur->item;
09/02/24 CS 201
Traverse a Linked List
The effect of the assignment cur = cur->next
09/02/24 CS 201
Delete a Node from a Linked List
• Deleting an interior/last node
prev->next=cur->next;
• Deleting the first node
head=head->next;
• Return deleted node to system
cur->next = NULL;
free(cur);
cur=NULL;
09/02/24 CS 201
Delete a Node from a Linked List
Deleting a node from a linked list
Deleting the first node
09/02/24 CS 201
Insert a Node into a Linked List
• To insert a node between two nodes
newPtr->next = cur;
prev->next = newPtr;
Inserting a new node
into a linked list
CS 201
Insert a Node into a Linked List
• To insert a node at the beginning of a
linked list
newPtr->next = head;
head = newPtr;
Inserting at the beginning
of a linked list
CS 201
Insert a Node into a Linked List
• Inserting at the end of a linked list is not
a special case if cur is NULL
newPtr->next = cur;
prev->next = newPtr;
Inserting at the end of a
linked list
CS 201
Look up
BOOLEAN lookup (int x, Node *L)
{ if (L == NULL)
return FALSE
else if (x == L->item)
return TRUE
else
return lookup(x, L-next);
}
09/02/24 CS 201
An ADT Interface for List
• Functions
– isEmpty
– getLength
– insert
– delete
– Lookup
– …
• Data Members
– head
– Size
• Local variables to
member functions
– cur
– prev
09/02/24 CS 201
09/02/24 CS 201
Doubly Liked Lists
• Frequently, we need to traverse a sequence
in BOTH directions efficiently
• Solution : Use doubly-linked list where each
node has two pointers
next
forward traversal
Doubly Linked List.
x1 x4
x2
head
x3
backward traversal
prev
09/02/24 CS 201
Circular Linked Lists
• May need to cycle through a list repeatedly,
e.g. round robin system for a shared resource
• Solution : Have the last node point to the first
node
x1 x2 xn
. . .
Circular Linked List.
head
Stacks
09/02/24 CS 201
What is a Stack?
• A stack is a list with the restriction that
insertions and deletions can be performed in
only one position, namely, the end of the list,
called the top.
• The operations: push (insert) and pop (delete)
pop push(o)
6
7
2
3
Top
09/02/24 CS 201
Stack ADT Interface
• The main functions in the Stack ADT are (S is the stack)
boolean isEmpty(); // return true if empty
boolean isFull(S); // return true if full
void push(S, item); // insert item into stack
void pop(S); // remove most recent item
void clear(S); // remove all items from stack
Item top(S); // retrieve most recent item
Item topAndPop(S); // return & remove most recent item
09/02/24 CS 201
Sample Operation
Stack S = malloc(sizeof(stack));
push(S, “a”);
push(S, “b”);
push(S, “c”);
d=top(S);
pop(S);
push(S, “e”);
pop(S);
s
a
b
c
top
e
d
09/02/24 CS 201
Implementation by Linked Lists
• Can use a Linked List as implementation of stack
Top of Stack = Front of Linked-List
StackLL
lst
a1 a2 a3 a4
head
LinkedListItr
09/02/24 CS 201
Code
struct Node {
int element;
Node * next;
};
typedef struct Node * STACK;
09/02/24 CS 201
More code
More Code
09/02/24 CS 201
09/02/24 CS 201
Implementation by Array
• use Array with a top index pointer as an implementation of stack
E F
0 1 7 8 9
2 3 4 5 6
A B C D
top
StackAr
arr
A
09/02/24 CS 201
Code
09/02/24 CS 201
More code
09/02/24 CS 201
More code
Effects
09/02/24 CS 201
09/02/24 CS 201
Applications
• Many application areas use stacks:
– line editing
– bracket matching
– postfix calculation
– function call stack
09/02/24 CS 201
Line Editing
• A line editor would place characters read into a
buffer but may use a backspace symbol (denoted by
) to do error correction
• Refined Task
– read in a line
– correct the errors via backspace
– print the corrected line in reverse
Input :
Corrected Input :
Reversed Output :
abc_defgh2klpqrwxyz
abc_defg2klpwxyz
zyxwplk2gfed_cba
09/02/24 CS 201
The Procedure
• Initialize a new stack
• For each character read:
– if it is a backspace, pop out last char
entered
– if not a backspace, push the char into
stack
• To print in reverse, pop out each char
for output
Input : fghryz
Corrected Input :
Reversed Output :
fyz
zyf Stack
f
g
h
r
y
z
09/02/24 CS 201
Bracket Matching Problem
• Ensures that pairs of brackets are properly matched
• An Example: {a,(b+f[4])*3,d+f[5]}
• Bad Examples:
(..)..) // too many closing brackets
(..(..) // too many open brackets
[..(..]..) // mismatched brackets
09/02/24 CS 201
Informal Procedure
Initialize the stack to empty
For every char read
if open bracket then push onto stack
if close bracket, then
return & remove most recent item
from the stack
if doesn’t match then flag error
if non-bracket, skip the char read
Example
{a,(b+f[4])*3,d+f[5]}
Stack
{
(
[
)
}
]
[ ]
09/02/24 CS 201
Postfix Calculator
• Computation of arithmetic expressions can be efficiently
carried out in Postfix notation with the help of a stack.
Infix - arg1 op arg2
Prefix - op arg1 arg2
Postfix - arg1 arg2 op
(2*3)+4
2*(3+4) 2 3 4 + *
2*3+4
infix
2 3 * 4 +
postfix
09/02/24 CS 201
Informal Procedure
Initialise stack S
For each item read.
If it is an operand,
push on the stack
If it is an operator,
pop arguments from stack;
perform operation;
push result onto the stack
2
3
4
Stack
Expr
2
3
4
+
*
push(S, 2)
push(S, 3)
push(S, 4)
arg2=topAndPop(S)
arg1=topAndPop(S)
push(S, arg1+arg2)
arg2=topAndPop(S)
arg1=topAndPop(S)
push(S, arg1*arg2)
3+4=7
2*7=14
09/02/24 CS 201
Summary
• The ADT stack operations have a last-
in, first-out (LIFO) behavior
• Stack has many applications
– algorithms that operate on algebraic
expressions
– a strong relationship between recursion
and stacks exists
• Stack can be implemented using arrays
or linked lists
Queues
09/02/24 CS 201
What is a Queue?
• Like stacks, queues are lists. With a queue,
however, insertion is done at one end whereas
deletion is done at the other end.
• Queues implement the FIFO (first-in first-out)
policy. E.g., a printer/job queue!
• Two basic operations of queues:
– dequeue: remove an item/element from front
– enqueue: add an item/element at the back
dequeue enqueue
09/02/24 CS 201
Queue ADT
• Queues implement the FIFO (first-in first-out)
policy
– An example is the printer/job queue!
enqueue(o)
dequeue()
isEmpty()
getFront() createQueue()
09/02/24 CS 201
Sample Operation
Queue *Q;
enqueue(Q, “a”);
enqueue(Q, “b”);
enqueue(Q, “c”);
d=getFront(Q);
dequeue(Q);
enqueue(Q, “e”);
dequeue(Q);
q
front back
a b c e
d
09/02/24 CS 201
Queue ADT interface
• The main functions in the Queue ADT are (Q is the
queue)
void enqueue(o, Q) // insert o to back of Q
void dequeue(Q); // remove oldest item
Item getFront(Q); // retrieve oldest item
boolean isEmpty(Q); // checks if Q is empty
boolean isFull(Q); // checks if Q is full
void clear(Q); // make Q empty
}
09/02/24 CS 201
Implementation of Queue
(Linked List)
• Can use LinkedListItr as underlying implementation of Queues
a1 a2 a3 a4
head tail
Queue
lst
LinkedList
addTail
09/02/24 CS 201
Code
struct Node {
int element;
Node * next;
};
struct QUEUE {
Node * front;
Node * rear;
};
09/02/24 CS 201
More code
More code
09/02/24 CS 201
CELL is a list node
09/02/24 CS 201
Implementation of Queue
(Array)
• use Array with front and back pointers as implementation of
queue Queue
arr 0 1 7 8 9
2 3 4 5 6
A B C D E F G
front
back
09/02/24 CS 201
Circular Array
• To implement queue, it is best to view arrays as circular structure
0 1 7 8 9
2 3 4 5 6
A B C D E F G
front
back
front
back
A
B
C
D
E
F
G
0
1
7
8
9
2
3
4
5
6
Circular view of arrays.
09/02/24 CS 201
How to Advance
• Both front & back pointers should make advancement until they
reach end of the array. Then, they should re-point to beginning
of the array
front = adv(front);
back = adv(back);
int adv(int p)
{ return ((p+1) % maxsize);
}
Alternatively, use modular arithmetic:
mod operator
int adv(int p)
{ int r = p+1;
if (r<maxsize) return r;
else return 0;
}
upper bound of the array
09/02/24 CS 201
Sample
Queue *Q;
enqueue(Q, “a”);
enqueue(Q, “b”);
enqueue(Q, “c”);
dequeue(Q);
dequeue(Q);
enqueue(Q, “d”);
enqueue(Q, “e”);
dequeue(Q);
a
Q
F=front
B=back
F
B
b c d
F
B B B
F F
B B
e
09/02/24 CS 201
Checking for Full/Empty State
What does (F==B) denote?
F
B
Queue
Empty
State
c d
e
B
F
f Queue
Full
State
size 0 size 4
c d
e
B F
Alternative - Leave a Deliberate Gap!
No need for size field.
Full Case : (adv(B)==F)
09/02/24 CS 201
Summary
• The definition of the queue operations
gives the ADT queue first-in, first-out
(FIFO) behavior
• The queue can be implemented by
linked lists or by arrays
• There are many applications
– Printer queues,
– Telecommunication queues,
– Simulations,
– Etc.

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Linked list-stack-queue Data Structure .ppt

  • 1. CS201: Data Structures and Discrete Mathematics I Linked Lists, Stacks and Queues
  • 2. 09/02/24 CS 201 Data Structure • A construct that can be defined within a programming language to store a collection of data – one may store some data in an array of integers, an array of objects, or an array of arrays
  • 3. 09/02/24 CS 201 Abstract Data Type (ADT) • Definition: a collection of data together with a set of operations on that data – specifications indicate what ADT operations do, but not how to implement them – data structures are part of an ADT’s implementation • Programmer can use an ADT without knowing its implementation.
  • 4. 09/02/24 CS 201 Typical Operations on Data • Add data to a data collection • Remove data from a data collection • Ask questions about the data in a data collection. E.g., what is the value at a particular location, and is x in the collection?
  • 5. 09/02/24 CS 201 Why ADT • Hide the unnecessary details • Help manage software complexity • Easier software maintenance • Functionalities are less likely to change • Localised rather than global changes
  • 8. 09/02/24 CS 201 Lists • List: a finite sequence of data items a1, a2, a3, …, an • Lists are pervasive in computing – e.g. class list, list of chars, list of events • Typical operations: – Creation – Insert / remove an element – Test for emptiness – Find an item/element – Current element / next / previous – Find k-th element – Print the entire list
  • 9. 09/02/24 CS 201 Array-Based List Implementation • One simple implementation is to use arrays – A sequence of n-elements • Maximum size is anticipated a priori. • Internal variables: – Maximum size maxSize (m) – Current size curSize (n) – Current index cur – Array of elements listArray n curSize a1 a2 a3 an listArray unused 0 1 2 n-1 m cur
  • 10. 09/02/24 CS 201 Inserting Into an Array • While retrieval is very fast, insertion and deletion are very slow – Insert has to shift upwards to create gap a1 a2 a7 a8 a4 a5 a6 a3 Step 1 : Shift upwards 8 Size arr 8 a1 a2 a3 a7 a8 Size arr a4 a5 a6 Example : insert(2, it, arr) Step 2 : Write into gap it Step 3 : Update Size 9
  • 11. 09/02/24 CS 201 Coding typedef struct { int arr[MAX]; int max; int size; } LIST void insert(int j, int it, LIST *pl) { // pre : 1<=j<=size+1 int i; for (i=pl->size; i>=j; i=i-1) // Step 1: Create gap { pl->arr[i+1]= pl->arr[i]; }; pl->arr[j]= it; // Step 2: Write to gap pl->size = pl->size + 1; // Step 3: Update size }
  • 12. 09/02/24 CS 201 Deleting from an Array • Delete has to shift downwards to close gap of deleted item Step 1 : Close Gap 9 a1 a2 it a7 a8 size a5 a6 a3 a8 arr 9 a1 a2 it a7 a8 size a4 a5 a6 a3 arr Example: deleteItem(4, arr) Step 2 : Update Size 8 Not part of list
  • 13. 09/02/24 CS 201 Coding void delete(int j, LIST *pl) { // pre : 1<=j<=size for (i=j+1; i<=pl->size; i=i+1) // Step1: Close gap { pl->arr[i-i]=pl->arr[i]; }; // Step 2: Update size pl->size = pl->size - 1; }
  • 14. 09/02/24 CS 201 Linked List Approach • Main problem of array is the slow deletion/insertion since it has to shift items in its contiguous memory • Solution: linked list where items need not be contiguous with nodes of the form • Sequence (list) of four items < a1,a2 ,a3 ,a4 > can be represented by: item next ai a1 a2 a3 a4 head represents null
  • 15. Pointer-Based Linked Lists • A node in a linked list is usually a struct struct Node { int item Node *next; }; //end struct • A node is dynamically allocated Node *p; p = malloc(sizeof(Node)); A node 09/02/24 CS 201
  • 16. Pointer-Based Linked Lists • The head pointer points to the first node in a linked list • If head is NULL, the linked list is empty – head=NULL • head=malloc(sizeof(Node)) 09/02/24 CS 201
  • 17. A Sample Linked List 09/02/24 CS 201
  • 18. Traverse a Linked List • Reference a node member with the -> operator p->item; • A traverse operation visits each node in the linked list – A pointer variable cur keeps track of the current node for (Node *cur = head; cur != NULL; cur = cur->next) x = cur->item; 09/02/24 CS 201
  • 19. Traverse a Linked List The effect of the assignment cur = cur->next 09/02/24 CS 201
  • 20. Delete a Node from a Linked List • Deleting an interior/last node prev->next=cur->next; • Deleting the first node head=head->next; • Return deleted node to system cur->next = NULL; free(cur); cur=NULL; 09/02/24 CS 201
  • 21. Delete a Node from a Linked List Deleting a node from a linked list Deleting the first node 09/02/24 CS 201
  • 22. Insert a Node into a Linked List • To insert a node between two nodes newPtr->next = cur; prev->next = newPtr; Inserting a new node into a linked list CS 201
  • 23. Insert a Node into a Linked List • To insert a node at the beginning of a linked list newPtr->next = head; head = newPtr; Inserting at the beginning of a linked list CS 201
  • 24. Insert a Node into a Linked List • Inserting at the end of a linked list is not a special case if cur is NULL newPtr->next = cur; prev->next = newPtr; Inserting at the end of a linked list CS 201
  • 25. Look up BOOLEAN lookup (int x, Node *L) { if (L == NULL) return FALSE else if (x == L->item) return TRUE else return lookup(x, L-next); } 09/02/24 CS 201
  • 26. An ADT Interface for List • Functions – isEmpty – getLength – insert – delete – Lookup – … • Data Members – head – Size • Local variables to member functions – cur – prev 09/02/24 CS 201
  • 27. 09/02/24 CS 201 Doubly Liked Lists • Frequently, we need to traverse a sequence in BOTH directions efficiently • Solution : Use doubly-linked list where each node has two pointers next forward traversal Doubly Linked List. x1 x4 x2 head x3 backward traversal prev
  • 28. 09/02/24 CS 201 Circular Linked Lists • May need to cycle through a list repeatedly, e.g. round robin system for a shared resource • Solution : Have the last node point to the first node x1 x2 xn . . . Circular Linked List. head
  • 30. 09/02/24 CS 201 What is a Stack? • A stack is a list with the restriction that insertions and deletions can be performed in only one position, namely, the end of the list, called the top. • The operations: push (insert) and pop (delete) pop push(o) 6 7 2 3 Top
  • 31. 09/02/24 CS 201 Stack ADT Interface • The main functions in the Stack ADT are (S is the stack) boolean isEmpty(); // return true if empty boolean isFull(S); // return true if full void push(S, item); // insert item into stack void pop(S); // remove most recent item void clear(S); // remove all items from stack Item top(S); // retrieve most recent item Item topAndPop(S); // return & remove most recent item
  • 32. 09/02/24 CS 201 Sample Operation Stack S = malloc(sizeof(stack)); push(S, “a”); push(S, “b”); push(S, “c”); d=top(S); pop(S); push(S, “e”); pop(S); s a b c top e d
  • 33. 09/02/24 CS 201 Implementation by Linked Lists • Can use a Linked List as implementation of stack Top of Stack = Front of Linked-List StackLL lst a1 a2 a3 a4 head LinkedListItr
  • 34. 09/02/24 CS 201 Code struct Node { int element; Node * next; }; typedef struct Node * STACK;
  • 37. 09/02/24 CS 201 Implementation by Array • use Array with a top index pointer as an implementation of stack E F 0 1 7 8 9 2 3 4 5 6 A B C D top StackAr arr A
  • 42. 09/02/24 CS 201 Applications • Many application areas use stacks: – line editing – bracket matching – postfix calculation – function call stack
  • 43. 09/02/24 CS 201 Line Editing • A line editor would place characters read into a buffer but may use a backspace symbol (denoted by ) to do error correction • Refined Task – read in a line – correct the errors via backspace – print the corrected line in reverse Input : Corrected Input : Reversed Output : abc_defgh2klpqrwxyz abc_defg2klpwxyz zyxwplk2gfed_cba
  • 44. 09/02/24 CS 201 The Procedure • Initialize a new stack • For each character read: – if it is a backspace, pop out last char entered – if not a backspace, push the char into stack • To print in reverse, pop out each char for output Input : fghryz Corrected Input : Reversed Output : fyz zyf Stack f g h r y z
  • 45. 09/02/24 CS 201 Bracket Matching Problem • Ensures that pairs of brackets are properly matched • An Example: {a,(b+f[4])*3,d+f[5]} • Bad Examples: (..)..) // too many closing brackets (..(..) // too many open brackets [..(..]..) // mismatched brackets
  • 46. 09/02/24 CS 201 Informal Procedure Initialize the stack to empty For every char read if open bracket then push onto stack if close bracket, then return & remove most recent item from the stack if doesn’t match then flag error if non-bracket, skip the char read Example {a,(b+f[4])*3,d+f[5]} Stack { ( [ ) } ] [ ]
  • 47. 09/02/24 CS 201 Postfix Calculator • Computation of arithmetic expressions can be efficiently carried out in Postfix notation with the help of a stack. Infix - arg1 op arg2 Prefix - op arg1 arg2 Postfix - arg1 arg2 op (2*3)+4 2*(3+4) 2 3 4 + * 2*3+4 infix 2 3 * 4 + postfix
  • 48. 09/02/24 CS 201 Informal Procedure Initialise stack S For each item read. If it is an operand, push on the stack If it is an operator, pop arguments from stack; perform operation; push result onto the stack 2 3 4 Stack Expr 2 3 4 + * push(S, 2) push(S, 3) push(S, 4) arg2=topAndPop(S) arg1=topAndPop(S) push(S, arg1+arg2) arg2=topAndPop(S) arg1=topAndPop(S) push(S, arg1*arg2) 3+4=7 2*7=14
  • 49. 09/02/24 CS 201 Summary • The ADT stack operations have a last- in, first-out (LIFO) behavior • Stack has many applications – algorithms that operate on algebraic expressions – a strong relationship between recursion and stacks exists • Stack can be implemented using arrays or linked lists
  • 51. 09/02/24 CS 201 What is a Queue? • Like stacks, queues are lists. With a queue, however, insertion is done at one end whereas deletion is done at the other end. • Queues implement the FIFO (first-in first-out) policy. E.g., a printer/job queue! • Two basic operations of queues: – dequeue: remove an item/element from front – enqueue: add an item/element at the back dequeue enqueue
  • 52. 09/02/24 CS 201 Queue ADT • Queues implement the FIFO (first-in first-out) policy – An example is the printer/job queue! enqueue(o) dequeue() isEmpty() getFront() createQueue()
  • 53. 09/02/24 CS 201 Sample Operation Queue *Q; enqueue(Q, “a”); enqueue(Q, “b”); enqueue(Q, “c”); d=getFront(Q); dequeue(Q); enqueue(Q, “e”); dequeue(Q); q front back a b c e d
  • 54. 09/02/24 CS 201 Queue ADT interface • The main functions in the Queue ADT are (Q is the queue) void enqueue(o, Q) // insert o to back of Q void dequeue(Q); // remove oldest item Item getFront(Q); // retrieve oldest item boolean isEmpty(Q); // checks if Q is empty boolean isFull(Q); // checks if Q is full void clear(Q); // make Q empty }
  • 55. 09/02/24 CS 201 Implementation of Queue (Linked List) • Can use LinkedListItr as underlying implementation of Queues a1 a2 a3 a4 head tail Queue lst LinkedList addTail
  • 56. 09/02/24 CS 201 Code struct Node { int element; Node * next; }; struct QUEUE { Node * front; Node * rear; };
  • 58. More code 09/02/24 CS 201 CELL is a list node
  • 59. 09/02/24 CS 201 Implementation of Queue (Array) • use Array with front and back pointers as implementation of queue Queue arr 0 1 7 8 9 2 3 4 5 6 A B C D E F G front back
  • 60. 09/02/24 CS 201 Circular Array • To implement queue, it is best to view arrays as circular structure 0 1 7 8 9 2 3 4 5 6 A B C D E F G front back front back A B C D E F G 0 1 7 8 9 2 3 4 5 6 Circular view of arrays.
  • 61. 09/02/24 CS 201 How to Advance • Both front & back pointers should make advancement until they reach end of the array. Then, they should re-point to beginning of the array front = adv(front); back = adv(back); int adv(int p) { return ((p+1) % maxsize); } Alternatively, use modular arithmetic: mod operator int adv(int p) { int r = p+1; if (r<maxsize) return r; else return 0; } upper bound of the array
  • 62. 09/02/24 CS 201 Sample Queue *Q; enqueue(Q, “a”); enqueue(Q, “b”); enqueue(Q, “c”); dequeue(Q); dequeue(Q); enqueue(Q, “d”); enqueue(Q, “e”); dequeue(Q); a Q F=front B=back F B b c d F B B B F F B B e
  • 63. 09/02/24 CS 201 Checking for Full/Empty State What does (F==B) denote? F B Queue Empty State c d e B F f Queue Full State size 0 size 4 c d e B F Alternative - Leave a Deliberate Gap! No need for size field. Full Case : (adv(B)==F)
  • 64. 09/02/24 CS 201 Summary • The definition of the queue operations gives the ADT queue first-in, first-out (FIFO) behavior • The queue can be implemented by linked lists or by arrays • There are many applications – Printer queues, – Telecommunication queues, – Simulations, – Etc.