SlideShare ist ein Scribd-Unternehmen logo
1 von 72
Data Structures
Abstract Data Type
A collection of related data is known as
 an abstract data type (ADT)

Data Structure = ADT + Collection of
 functions that operate on the ADT
Data Structure
• Consist of the data structure definition
  and a collection of functions that operate
  on the struct
  – We will never access the struct directly!
• Separate what you can do with data from
  how it is represented
• Other parts of the program interacts with
  data through provided operations
  according to their specifications
• Implementation chooses how to represent
  data and implement its operations
Multiple Implementations
• An ADT can have several implementations
• Interface functions are the same
• Application programs will not see any
  difference
ADT: Linear list


• A sequence of elements
• There is first and last element
• Each element has previous and next
  – Nothing before first
  – Nothing after last
Why linked lists ?
• A linked list is a dynamic data structure.
   – It can grow or shrink in size during the execution
     of a program.
   – It can be made just as long as required.
   – It does not waste memory space.
• Linked lists provide flexibility in allowing the
  items to be rearranged efficiently.
   – Insert an element.
   – Delete an element.
• What we can do with a linear list?
  – Delete element
  – Insert element
  – Find element
  – Traverse list
Illustration: Insertion
A               B       C


           Item to be
      X    inserted




A           B           C



     X
Illustration: Deletion
A            B         C




A            B         C
In essence ...
• For insertion:
   – A record is created holding the new item.
   – The next pointer of the new record is set to link it
     to the item which is to follow it in the list.
   – The next pointer of the item which is to precede it
     must be modified to point to the new item.
• For deletion:
   – The next pointer of the item immediately
     preceding the one to be deleted is altered, and
     made to point to the item following the deleted
     item.
Traverse: list  elements in
            order


• get_first(list) -
   – returns first element if it exists
• get_next(list) -
   – returns next element if it exists
• Both functions return NULL otherwise
• Calling get_next in a loop we will get one by one all
  elements of the list
How we can implement a list?
• Array?
• Search is easy (sequential or binary)
• Traversal is easy:
  for(i = first; i <= last; ++i)
     process(a[i]);
• Insert and delete is not easy
  – a good part of the array has to be moved!
• Hard to guess the size of an array
A linked list implementation

• Linked list is a chain of elements
• Each element has data part and link
  part pointing to the next element
Main operations
• Create list
• Add node
  – beginning,middle or end
• Delete node
  – beginning,middle or end
• Find node
• Traverse list
Conceptual Idea


Insert
                     List
                implementation
Delete
                    and the
               related functions
Traverse
Example: Working with linked list
•   Consider the structure of a node as follows:

     struct stud {
                          int roll;
                          char name[25];
                          int age;
                          struct stud *next;
                     };

              /* A user-defined data type called “node” */
     typedef struct stud node;
     node *head;
Creating a List
• To start with, we have to create a node
  (the first node), and make head point to it.
    head = (node *) malloc (sizeof (node));
   head
                          roll

                          name      next

                          age
Contd.
• If there are n number of nodes in the initial
  linked list:
  – Allocate n records, one by one.
  – Read in the fields of the records.
  – Modify the links of the records so that the
    chain is formed.
void create_list (node *list)
{
  int k, n;
  node *p;
  printf (“n How many elements?”);
  scanf (“%d”, &n);
                                                To be called from the main()
    list = (node *) malloc (sizeof (node));     function as:
    p = list;
    for (k=0; k<n; k++)                         node *head;
    {                                           …….
                                                create_list (head);
       scanf (“%d %s %d”, &p->roll,
                       p->name, &p->age);
       p->next = (node *) malloc
                             (sizeof (node));
       p = p->next;
    }
    free (p->next);
    p->next = NULL;
}
Traversing the List
• Once the linked list has been constructed
  and head points to the first node of the list,
  – Follow the pointers.
  – Display the contents of the nodes as they are
    traversed.
  – Stop when the next pointer points to NULL.
void display_list (node *list)
{
  int k = 0;
  node *p;

    p = list;
    while (p != NULL)
    {
      printf (“Node %d: %d %s %d”, k, p->roll,
                               p->name, p->age);
      k++;
      p = p->next;
    }
}
Inserting a Node in the List
• The problem is to insert a node before a
  specified node.
  – Specified means some value is given for the
    node (called key).
  – Here it may be roll.
• Convention followed:
  – If the value of roll is given as negative, the
    node will be inserted at the end of the list.
• When a node is added at the beginning,
  – Only one next pointer needs to be modified.
     • head is made to point to the new node.
     • New node points to the previously first element.
• When a node is added at the end,
  – Two next pointers need to be modified.
     • Last node now points to the new node.
     • New node points to NULL.
• When a node is added in the middle,
  – Two next pointers need to be modified.
     • Previous node now points to the new node.
     • New node points to the next node.
void insert_node (node *list)
{
  int k = 0, rno;
  node *p, *q, *new;

  new = (node *) malloc (sizeof (node));
  scanf (“%d %s %d”, &new->roll, new->name,
                                 &new->age);

  printf (“nInsert before roll (-ve for end):”);
  scanf (“%d”, &rno);

  p = list;
  if (p->roll == rno)     /* At the beginning */
  {
     new->next = p;
     list = new;
  }
while ((p != NULL) && (p->roll != rno))

    {
        q = p;
        p = p->next;
    }
                                                 The pointers q and p
    if (p == NULL)       /* At the end */        always point to
    {
                                                 consecutive nodes.
       q->next = new;
       new->next = NULL;
     }

     if (p->roll == rno)   /* In the middle */
    {
       q->next = new;
       new->next = p;
    }
}
Deleting an Item
• Here also we are required to delete a
  specified node.
  – Say, the node whose roll field is given.
• Here also three conditions arise:
  – Deleting the first node.
  – Deleting the last node.
  – Deleting an intermediate node.
void delete_node (node *list)
{
  int rno;
  node *p, *q;

  printf (“nDelete for roll :”);
  scanf (“%d”, &rno);

  p = list;
  if (p->roll == rno)        /* Delete the first element */
  {
     list = p->next;
     free (p);
  }
while ((p != NULL) && (p->roll != rno))
    {
      q = p;
      p = p->next;
    }


     if (p == NULL)            /* Element not found */
        printf (“nNo match :: deletion failed”);

    if (p->roll == rno)      /* Delete any other element */
    {
       q->next = p->next;
       free (p);
    }
}
Doubly linked list


       A                 B        C


Assignment :
Insertion, deletion in a doubly
linked list
A First-in First-out (FIFO) List
                                      Out
       In


                                      B     A
   C    B   A



                Also called a QUEUE
A Last-in First-out (LIFO) List
              In      Out

  C   B   A                 B   C




                      Also called a
                        STACK
Stack
Stacks in Our Life
More Stacks




• A stack is a LIFO structure: Last In First Out
Basic Operations with Stacks
• Push
  – Add and item
     • Overflow
• Pop
  – Remove an item
     • Underflow
• Stack Top
  – What’s on the Top
     • Could be empty
Push




• Adds new data element to the top of the
  stack
Pop




• Removes a data element from the top of
  the stack
Stack Top




• Checks the top element. Stack is not
  changed
push


   pop


 create
          STACK

isempty


 isfull
Assume:: stack contains integer elements

void push (stack s, int element);
                           /* Insert an element in the stack
  */
int pop (stack s);
                     /* Remove and return the top element */
void create (stack s);
                             /* Create a new stack */
int isempty (stack s);
                             /* Check if stack is empty */
int isfull (stack s);
                             /* Check if stack is full */
• We shall look into two different
  implementations of stack:
  – Using arrays
  – Using linked list
Stack Implementation
Stack Implementation Using
             Arrays
• Basic idea.
  – Declare an array of fixed size (which
    determines the maximum size of the stack).
  – Keep a variable which always points to the
    “top” of the stack.
Declaration
#define MAXSIZE 100

struct lifo {
                int st[MAXSIZE];
                int top;
             };
typedef struct lifo stack;
Stack Creation

void create (stack s)
{
   s.top = 0;   /* Points to last element
  pushed in */
}
Pushing an element into the stack
   void push (stack s, int element)
   {
     if (s.top == (MAXSIZE-1))
        {
            printf (“n Stack overflow”);
            break;
         }
     else
         {
             s.top ++;
             s.st [s.top] = element;
          }
Removing/Popping an element from the stack

  int pop (stack s)
  {
     if (s.top == 0)
        {
           printf (“n Stack underflow”);
           break;
        }
     else
        {
           return (s.st [s.top --]);
        }
  }
Checking for stack full / empty

  int isempty (stack s)
  {
     if (s.top == 0) return 1;
     else return (0);
  }


int isfull (stack s)
   {
     if (s.top == (MAXSIZE – 1))   return 1;
     else return (0);
   }
Stack Implementation Using
          Linked List
• Very similar to the linked list
  implementation discussed earlier.

    struct lifo {
                    int element;
                    struct lifo *next;
                 };
    typedef struct lifo stack;
    stack *top;
Contd.
• Basic concept:
  – Insertion (push) and deletion (pop) operations
    take place at one end of the list only.
  – For stack creation / push operation
    • Required to call malloc function
  – How to check stack underflow?
    • Easy. Simply check if top points to NULL.
  – How to check overflow?
    • Check is malloc returns –1.
Sample Usage
stack A, B;

create (A); create (B);
push (A, 10); push (A, 20); push (A, 30);
push (B, 5); push (B, 25); push (B, 10);

printf (“n%d %d %d”, pop(A), pop(A), pop(A));
printf (“n%d %d %d”, pop(B), pop(B), pop(B));

if (not isfull (A))                 30 20 10
   push (A, 50);                    10 25 5
if (not isempty (A))
   k = pop (A);
Queues
Queues in Our Life




• A queue is a FIFO structure: Fast In First Out
Basic Operations with Queues
• Enqueue - Add an item to the end of queue
     • Overflow
• Dequeue - Remove an item from the front
     • Could be empty
• Queue Front - Who is first?
     • Could be empty
• Queue End - Who is last?
     • Could be empty
Enqueue
Dequeue
Queue Front
Queue Rear
Queue implementation with
         arrays
Queue will overgrow the array




 • Should we use VERY L A R G E ARRAYS?
Array implementation of queues

     queueAry    maxsize        count    front       rear


                  7              4        1           5


         front                   rear

    11    37     22        15        3   -7      1
Structure for a queue array
struct intqueue {
     int *queueArray;
     int maxSize;
     int count;
     int front;
     int rear;
};
Queue Implementation Using Linked List

  •   Basic idea:
       – Create a linked list to which items would be added to one end
         and deleted from the other end.
       – Two pointers will be maintained:
           • One pointing to the beginning of the list (point from where
             elements will be deleted).
           • Another pointing to the end of the list (point where new
             elements will be inserted).                                 Rear




Front
Assume:: queue contains integer elements

void enqueue (queue q, int element);
                       /* Insert an element in the queue */
int dequeue (queue q);
                 /* Remove an element from the queue */
queue *create ();
                            /* Create a new queue */
int isempty (queue q);
                            /* Check if queue is empty */
int size (queue q);
            /* Return the number of elements in queue */
Creating a queue


front = NULL;
rear = NULL;
Inserting an element in queue
void enqueue (queue q, int x)
{
   queue *ptr;
   ptr = (queue *) malloc (sizeof (queue));

      if (rear == NULL)                /* Queue is empty */
         {
            front = ptr; rear = ptr;
            ptr->element = x;
            ptr->next = NULL;
         }
      else                               /* Queue is not empty
    */
         {
            rear->next = ptr;
            ptr ->element = x;
            ptr->next = NULL;
         }
}
Deleting an element from queue
int dequeue (queue q)
  {
    queue *old;

     if (front == NULL)                  /* Queue is empty */
        printf (“n Queue is empty”);

     else if (front == rear)               /* Single element */
              {
                 k = front->element;
                 free (front); front = rear = NULL;
                 return (k);
              }
          else
              {
                 k = front->element; old = front;
                 front = front->next;
                 free (old);
                 return (k);
              }
 }
Checking if empty
int isempty (queue q)
{
   if (front == NULL)
      return (1);
   else
      return (0);
}

Weitere ähnliche Inhalte

Was ist angesagt?

Collections In Scala
Collections In ScalaCollections In Scala
Collections In ScalaKnoldus Inc.
 
Algorithm: priority queue
Algorithm: priority queueAlgorithm: priority queue
Algorithm: priority queueTareq Hasan
 
The basics and design of lua table
The basics and design of lua tableThe basics and design of lua table
The basics and design of lua tableShuai Yuan
 
A Prelude of Purity: Scaling Back ZIO
A Prelude of Purity: Scaling Back ZIOA Prelude of Purity: Scaling Back ZIO
A Prelude of Purity: Scaling Back ZIOJorge Vásquez
 
Exploring type level programming in Scala
Exploring type level programming in ScalaExploring type level programming in Scala
Exploring type level programming in ScalaJorge Vásquez
 
Rewriting Java In Scala
Rewriting Java In ScalaRewriting Java In Scala
Rewriting Java In ScalaSkills Matter
 
Purely Functional Data Structures in Scala
Purely Functional Data Structures in ScalaPurely Functional Data Structures in Scala
Purely Functional Data Structures in ScalaVladimir Kostyukov
 
Exploring ZIO Prelude: The game changer for typeclasses in Scala
Exploring ZIO Prelude: The game changer for typeclasses in ScalaExploring ZIO Prelude: The game changer for typeclasses in Scala
Exploring ZIO Prelude: The game changer for typeclasses in ScalaJorge Vásquez
 
Data structures in scala
Data structures in scalaData structures in scala
Data structures in scalaMeetu Maltiar
 
Collections in .net technology (2160711)
Collections in .net technology (2160711)Collections in .net technology (2160711)
Collections in .net technology (2160711)Janki Shah
 
Learning notes of r for python programmer (Temp1)
Learning notes of r for python programmer (Temp1)Learning notes of r for python programmer (Temp1)
Learning notes of r for python programmer (Temp1)Chia-Chi Chang
 
The Next Great Functional Programming Language
The Next Great Functional Programming LanguageThe Next Great Functional Programming Language
The Next Great Functional Programming LanguageJohn De Goes
 
Functor, Apply, Applicative And Monad
Functor, Apply, Applicative And MonadFunctor, Apply, Applicative And Monad
Functor, Apply, Applicative And MonadOliver Daff
 

Was ist angesagt? (20)

Collections In Scala
Collections In ScalaCollections In Scala
Collections In Scala
 
Algorithm: priority queue
Algorithm: priority queueAlgorithm: priority queue
Algorithm: priority queue
 
08. haskell Functions
08. haskell Functions08. haskell Functions
08. haskell Functions
 
The basics and design of lua table
The basics and design of lua tableThe basics and design of lua table
The basics and design of lua table
 
A Prelude of Purity: Scaling Back ZIO
A Prelude of Purity: Scaling Back ZIOA Prelude of Purity: Scaling Back ZIO
A Prelude of Purity: Scaling Back ZIO
 
Exploring type level programming in Scala
Exploring type level programming in ScalaExploring type level programming in Scala
Exploring type level programming in Scala
 
Rewriting Java In Scala
Rewriting Java In ScalaRewriting Java In Scala
Rewriting Java In Scala
 
Purely Functional Data Structures in Scala
Purely Functional Data Structures in ScalaPurely Functional Data Structures in Scala
Purely Functional Data Structures in Scala
 
Exploring ZIO Prelude: The game changer for typeclasses in Scala
Exploring ZIO Prelude: The game changer for typeclasses in ScalaExploring ZIO Prelude: The game changer for typeclasses in Scala
Exploring ZIO Prelude: The game changer for typeclasses in Scala
 
Data structures in scala
Data structures in scalaData structures in scala
Data structures in scala
 
Collections in .net technology (2160711)
Collections in .net technology (2160711)Collections in .net technology (2160711)
Collections in .net technology (2160711)
 
Scala collection
Scala collectionScala collection
Scala collection
 
Queue Data Structure
Queue Data StructureQueue Data Structure
Queue Data Structure
 
Datastruct2
Datastruct2Datastruct2
Datastruct2
 
Templates
TemplatesTemplates
Templates
 
Queue
QueueQueue
Queue
 
MTL Versus Free
MTL Versus FreeMTL Versus Free
MTL Versus Free
 
Learning notes of r for python programmer (Temp1)
Learning notes of r for python programmer (Temp1)Learning notes of r for python programmer (Temp1)
Learning notes of r for python programmer (Temp1)
 
The Next Great Functional Programming Language
The Next Great Functional Programming LanguageThe Next Great Functional Programming Language
The Next Great Functional Programming Language
 
Functor, Apply, Applicative And Monad
Functor, Apply, Applicative And MonadFunctor, Apply, Applicative And Monad
Functor, Apply, Applicative And Monad
 

Ähnlich wie Data structures

Sorting & Linked Lists
Sorting & Linked ListsSorting & Linked Lists
Sorting & Linked ListsJ.T.A.JONES
 
linked list
linked listlinked list
linked listAbbott
 
Revisiting a data structures in detail with linked list stack and queue
Revisiting a data structures in detail with linked list stack and queueRevisiting a data structures in detail with linked list stack and queue
Revisiting a data structures in detail with linked list stack and queuessuser7319f8
 
Basic data structures in python
Basic data structures in pythonBasic data structures in python
Basic data structures in pythonLifna C.S
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.pptGokiladeepa
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.pptsaivasu4
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.pptMrsSHEEBAM
 
Funddamentals of data structures
Funddamentals of data structuresFunddamentals of data structures
Funddamentals of data structuresGlobalidiots
 
Lecture 4 data structures and algorithms
Lecture 4 data structures and algorithmsLecture 4 data structures and algorithms
Lecture 4 data structures and algorithmsAakash deep Singhal
 

Ähnlich wie Data structures (20)

Linked list1.ppt
Linked list1.pptLinked list1.ppt
Linked list1.ppt
 
Sorting & Linked Lists
Sorting & Linked ListsSorting & Linked Lists
Sorting & Linked Lists
 
STACK1.pptx
STACK1.pptxSTACK1.pptx
STACK1.pptx
 
linked list
linked listlinked list
linked list
 
linkedlist (1).ppt
linkedlist (1).pptlinkedlist (1).ppt
linkedlist (1).ppt
 
Unit7 C
Unit7 CUnit7 C
Unit7 C
 
Revisiting a data structures in detail with linked list stack and queue
Revisiting a data structures in detail with linked list stack and queueRevisiting a data structures in detail with linked list stack and queue
Revisiting a data structures in detail with linked list stack and queue
 
Basic data structures in python
Basic data structures in pythonBasic data structures in python
Basic data structures in python
 
Linked List.ppt
Linked List.pptLinked List.ppt
Linked List.ppt
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.ppt
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.ppt
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.ppt
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.ppt
 
Wk11-linkedlist.ppt
Wk11-linkedlist.pptWk11-linkedlist.ppt
Wk11-linkedlist.ppt
 
Stack and Queue
Stack and Queue Stack and Queue
Stack and Queue
 
Funddamentals of data structures
Funddamentals of data structuresFunddamentals of data structures
Funddamentals of data structures
 
Lecture 4 data structures and algorithms
Lecture 4 data structures and algorithmsLecture 4 data structures and algorithms
Lecture 4 data structures and algorithms
 
Unit - 2.pdf
Unit - 2.pdfUnit - 2.pdf
Unit - 2.pdf
 
Data structures
Data structuresData structures
Data structures
 
Linked list
Linked listLinked list
Linked list
 

Kürzlich hochgeladen

Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024Janet Corral
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 

Kürzlich hochgeladen (20)

Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 

Data structures

  • 2. Abstract Data Type A collection of related data is known as an abstract data type (ADT) Data Structure = ADT + Collection of functions that operate on the ADT
  • 3. Data Structure • Consist of the data structure definition and a collection of functions that operate on the struct – We will never access the struct directly!
  • 4. • Separate what you can do with data from how it is represented • Other parts of the program interacts with data through provided operations according to their specifications • Implementation chooses how to represent data and implement its operations
  • 5. Multiple Implementations • An ADT can have several implementations • Interface functions are the same • Application programs will not see any difference
  • 6. ADT: Linear list • A sequence of elements • There is first and last element • Each element has previous and next – Nothing before first – Nothing after last
  • 7. Why linked lists ? • A linked list is a dynamic data structure. – It can grow or shrink in size during the execution of a program. – It can be made just as long as required. – It does not waste memory space. • Linked lists provide flexibility in allowing the items to be rearranged efficiently. – Insert an element. – Delete an element.
  • 8. • What we can do with a linear list? – Delete element – Insert element – Find element – Traverse list
  • 9. Illustration: Insertion A B C Item to be X inserted A B C X
  • 11. In essence ... • For insertion: – A record is created holding the new item. – The next pointer of the new record is set to link it to the item which is to follow it in the list. – The next pointer of the item which is to precede it must be modified to point to the new item. • For deletion: – The next pointer of the item immediately preceding the one to be deleted is altered, and made to point to the item following the deleted item.
  • 12. Traverse: list  elements in order • get_first(list) - – returns first element if it exists • get_next(list) - – returns next element if it exists • Both functions return NULL otherwise • Calling get_next in a loop we will get one by one all elements of the list
  • 13. How we can implement a list? • Array? • Search is easy (sequential or binary) • Traversal is easy: for(i = first; i <= last; ++i) process(a[i]); • Insert and delete is not easy – a good part of the array has to be moved! • Hard to guess the size of an array
  • 14. A linked list implementation • Linked list is a chain of elements • Each element has data part and link part pointing to the next element
  • 15. Main operations • Create list • Add node – beginning,middle or end • Delete node – beginning,middle or end • Find node • Traverse list
  • 16. Conceptual Idea Insert List implementation Delete and the related functions Traverse
  • 17. Example: Working with linked list • Consider the structure of a node as follows: struct stud { int roll; char name[25]; int age; struct stud *next; }; /* A user-defined data type called “node” */ typedef struct stud node; node *head;
  • 18. Creating a List • To start with, we have to create a node (the first node), and make head point to it. head = (node *) malloc (sizeof (node)); head roll name next age
  • 19. Contd. • If there are n number of nodes in the initial linked list: – Allocate n records, one by one. – Read in the fields of the records. – Modify the links of the records so that the chain is formed.
  • 20. void create_list (node *list) { int k, n; node *p; printf (“n How many elements?”); scanf (“%d”, &n); To be called from the main() list = (node *) malloc (sizeof (node)); function as: p = list; for (k=0; k<n; k++) node *head; { ……. create_list (head); scanf (“%d %s %d”, &p->roll, p->name, &p->age); p->next = (node *) malloc (sizeof (node)); p = p->next; } free (p->next); p->next = NULL; }
  • 21. Traversing the List • Once the linked list has been constructed and head points to the first node of the list, – Follow the pointers. – Display the contents of the nodes as they are traversed. – Stop when the next pointer points to NULL.
  • 22. void display_list (node *list) { int k = 0; node *p; p = list; while (p != NULL) { printf (“Node %d: %d %s %d”, k, p->roll, p->name, p->age); k++; p = p->next; } }
  • 23. Inserting a Node in the List • The problem is to insert a node before a specified node. – Specified means some value is given for the node (called key). – Here it may be roll. • Convention followed: – If the value of roll is given as negative, the node will be inserted at the end of the list.
  • 24. • When a node is added at the beginning, – Only one next pointer needs to be modified. • head is made to point to the new node. • New node points to the previously first element. • When a node is added at the end, – Two next pointers need to be modified. • Last node now points to the new node. • New node points to NULL. • When a node is added in the middle, – Two next pointers need to be modified. • Previous node now points to the new node. • New node points to the next node.
  • 25. void insert_node (node *list) { int k = 0, rno; node *p, *q, *new; new = (node *) malloc (sizeof (node)); scanf (“%d %s %d”, &new->roll, new->name, &new->age); printf (“nInsert before roll (-ve for end):”); scanf (“%d”, &rno); p = list; if (p->roll == rno) /* At the beginning */ { new->next = p; list = new; }
  • 26. while ((p != NULL) && (p->roll != rno)) { q = p; p = p->next; } The pointers q and p if (p == NULL) /* At the end */ always point to { consecutive nodes. q->next = new; new->next = NULL; } if (p->roll == rno) /* In the middle */ { q->next = new; new->next = p; } }
  • 27. Deleting an Item • Here also we are required to delete a specified node. – Say, the node whose roll field is given. • Here also three conditions arise: – Deleting the first node. – Deleting the last node. – Deleting an intermediate node.
  • 28. void delete_node (node *list) { int rno; node *p, *q; printf (“nDelete for roll :”); scanf (“%d”, &rno); p = list; if (p->roll == rno) /* Delete the first element */ { list = p->next; free (p); }
  • 29. while ((p != NULL) && (p->roll != rno)) { q = p; p = p->next; } if (p == NULL) /* Element not found */ printf (“nNo match :: deletion failed”); if (p->roll == rno) /* Delete any other element */ { q->next = p->next; free (p); } }
  • 30. Doubly linked list A B C Assignment : Insertion, deletion in a doubly linked list
  • 31. A First-in First-out (FIFO) List Out In B A C B A Also called a QUEUE
  • 32. A Last-in First-out (LIFO) List In Out C B A B C Also called a STACK
  • 33. Stack
  • 35. More Stacks • A stack is a LIFO structure: Last In First Out
  • 36. Basic Operations with Stacks • Push – Add and item • Overflow • Pop – Remove an item • Underflow • Stack Top – What’s on the Top • Could be empty
  • 37. Push • Adds new data element to the top of the stack
  • 38. Pop • Removes a data element from the top of the stack
  • 39. Stack Top • Checks the top element. Stack is not changed
  • 40.
  • 41. push pop create STACK isempty isfull
  • 42. Assume:: stack contains integer elements void push (stack s, int element); /* Insert an element in the stack */ int pop (stack s); /* Remove and return the top element */ void create (stack s); /* Create a new stack */ int isempty (stack s); /* Check if stack is empty */ int isfull (stack s); /* Check if stack is full */
  • 43. • We shall look into two different implementations of stack: – Using arrays – Using linked list
  • 45. Stack Implementation Using Arrays • Basic idea. – Declare an array of fixed size (which determines the maximum size of the stack). – Keep a variable which always points to the “top” of the stack.
  • 46. Declaration #define MAXSIZE 100 struct lifo { int st[MAXSIZE]; int top; }; typedef struct lifo stack;
  • 47. Stack Creation void create (stack s) { s.top = 0; /* Points to last element pushed in */ }
  • 48. Pushing an element into the stack void push (stack s, int element) { if (s.top == (MAXSIZE-1)) { printf (“n Stack overflow”); break; } else { s.top ++; s.st [s.top] = element; }
  • 49. Removing/Popping an element from the stack int pop (stack s) { if (s.top == 0) { printf (“n Stack underflow”); break; } else { return (s.st [s.top --]); } }
  • 50. Checking for stack full / empty int isempty (stack s) { if (s.top == 0) return 1; else return (0); } int isfull (stack s) { if (s.top == (MAXSIZE – 1)) return 1; else return (0); }
  • 51. Stack Implementation Using Linked List • Very similar to the linked list implementation discussed earlier. struct lifo { int element; struct lifo *next; }; typedef struct lifo stack; stack *top;
  • 52. Contd. • Basic concept: – Insertion (push) and deletion (pop) operations take place at one end of the list only. – For stack creation / push operation • Required to call malloc function – How to check stack underflow? • Easy. Simply check if top points to NULL. – How to check overflow? • Check is malloc returns –1.
  • 53. Sample Usage stack A, B; create (A); create (B); push (A, 10); push (A, 20); push (A, 30); push (B, 5); push (B, 25); push (B, 10); printf (“n%d %d %d”, pop(A), pop(A), pop(A)); printf (“n%d %d %d”, pop(B), pop(B), pop(B)); if (not isfull (A)) 30 20 10 push (A, 50); 10 25 5 if (not isempty (A)) k = pop (A);
  • 55. Queues in Our Life • A queue is a FIFO structure: Fast In First Out
  • 56. Basic Operations with Queues • Enqueue - Add an item to the end of queue • Overflow • Dequeue - Remove an item from the front • Could be empty • Queue Front - Who is first? • Could be empty • Queue End - Who is last? • Could be empty
  • 61.
  • 63. Queue will overgrow the array • Should we use VERY L A R G E ARRAYS?
  • 64.
  • 65. Array implementation of queues queueAry maxsize count front rear 7 4 1 5 front rear 11 37 22 15 3 -7 1
  • 66. Structure for a queue array struct intqueue { int *queueArray; int maxSize; int count; int front; int rear; };
  • 67. Queue Implementation Using Linked List • Basic idea: – Create a linked list to which items would be added to one end and deleted from the other end. – Two pointers will be maintained: • One pointing to the beginning of the list (point from where elements will be deleted). • Another pointing to the end of the list (point where new elements will be inserted). Rear Front
  • 68. Assume:: queue contains integer elements void enqueue (queue q, int element); /* Insert an element in the queue */ int dequeue (queue q); /* Remove an element from the queue */ queue *create (); /* Create a new queue */ int isempty (queue q); /* Check if queue is empty */ int size (queue q); /* Return the number of elements in queue */
  • 69. Creating a queue front = NULL; rear = NULL;
  • 70. Inserting an element in queue void enqueue (queue q, int x) { queue *ptr; ptr = (queue *) malloc (sizeof (queue)); if (rear == NULL) /* Queue is empty */ { front = ptr; rear = ptr; ptr->element = x; ptr->next = NULL; } else /* Queue is not empty */ { rear->next = ptr; ptr ->element = x; ptr->next = NULL; } }
  • 71. Deleting an element from queue int dequeue (queue q) { queue *old; if (front == NULL) /* Queue is empty */ printf (“n Queue is empty”); else if (front == rear) /* Single element */ { k = front->element; free (front); front = rear = NULL; return (k); } else { k = front->element; old = front; front = front->next; free (old); return (k); } }
  • 72. Checking if empty int isempty (queue q) { if (front == NULL) return (1); else return (0); }