SlideShare uma empresa Scribd logo
1 de 49
Let’s learn  TACKS &  UEUES for  CLASS XII( C++) SENIOR SECONDARY GROUP Presented By : NITI ARORA
STACKS  AND  QUEUES
Objective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A mathematical and logical model of data is known as  Data Structure .   Primitive data structure :  The data structure, which is available in the compiler, is known as a  primitive data structure . Non-primitive data structure :  The data structure, which is not available in the compiler, is known as  non-primitive data structure .   DATA STRUCTURE: INTRODUCTION
  Linear Data Structure :  The data structure in which each element has access to maximum of one predecessor element and maximum of one successor element is known as  linear data structure .  Example:  Stack, Queue, etc . Non-linear Data Structure :  The data structure in which each element can access any number of predecessor elements and any number of successor elements is known as  Non-linear data structure . Example:  Tree, Graphs, etc .   DATA STRUCTURE: INTRODUCTION
Static Data Structure:  The data structure in which the number of elements is fixed, is known as  Static Data Structure . Example: Arrays Dynamic Data Structure:  The data structure in which the number of elements is not fixed, is known as  Dynamic Data Structure . Example: Linked List. TYPES OF DATA STRUCTURE
It is a  static data structure . It is a homogeneous collection of data. The elements in the array are stored on consecutive memory locations. Array is also known as a subscripted variable, e.g., A[i] is i th   element of the array A. ARRAY
STACK It is a non-primitive linear data structure in which  insertion  and  deletion  of elements takes place from  only one end , known as top.   It is a non-primitive linear data structure in which  insertion  and  deletion  of elements takes place from  two opposite ends  rear and front respectively.  QUEUE
STACKS Stacks is LIFO (Last In First Out) structure and physically can be implemented as an array or as a linked list. Stack, when implemented as an array is functionally same as any other array except that here, adding an element and deletion is done from the same direction just like a pile of books.
STACK Inserting an element in an array is known as  PUSH . Deleting an element from an array is known as  POP . Implementation of STACK in computers ,[object Object],[object Object],[object Object]
STACK A  stack  is a list in which insertion and deletion takes place only at one end called top. Thus, called LIFO. Representation  of STACK Each one of the above has one  open and one close  end and  data movement takes place from open end . data4 TOP data3 data2 data1 data2 data1 data3 data4 TOP TOP data4 data3 data2 data1 data1 data2 data3 data4 TOP
Basic operation and implementation of stacks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
STACKS The fundamental operations that can be performed on stack are  PUSH and POP . When element is added on the stack top is called  PUSH .  And When Data is removed from the stack top, the operation is called  POP.
STACK The stack operation can be explained as follows:   Stack operation Content of array Push(a)   a Push(b)  ba Push( c)   cba Pop()   ba Pop()   a Push (a) a b a Push(b) b a C Push( c) b a Pop( c) a Pop(b)
STACKS ,[object Object],[object Object],[object Object],[object Object]
Linear Stack int S[5]; When  PUSH  is selected,  TOP  is  incremented, And data is added at that subscript location When  POP  is selected,  TOP  is  decremented, And data is removed from that subscript location Stack array int TOP; To hold address of location where data is inserted or deleted
Lets see working of  Linear Stack   Push 7 Push 20 Push 14 ,[object Object],[object Object],TOP TOP TOP Top is incremented  TOP++ 10 9 8 10 9 8 7 10 9 8 7 20
CONTINUED…. Pop 20 Pop 7 ,[object Object],TOP Top Top TOP is decremented TOP -- 10 9 8 7 20 10 9 8 7 10 9 8
Lets see this using a program Program Code for the Same is  Click here to execute program Click here to see program code
A variable which holds an address of a memory location of another variable  is known as a  Pointer Variable (or only pointer).   Example int amt, *p; amt Requires 2 bytes 0x8ffebab4 *P Requires 2 bytes Pointer P holds address of amt POINTER     900     0x8ffebab4
NEW  operator in C++ returns the address of a block of unallocated bytes (depending on data  type a pointer pointing to). DELETE  operator in C++ reverses the process of new operator, by releasing the memory location from a pointer. It de allocates memory assigned by NEW. DYNAMIC ALLOCATION
A pointer, which stores the address of struct type data, is known as Pointer to structure. struct abc { int X,Y;  }; struct *g=new abc;  Holds address of dynamic object of struct abc   G   0x8ff134ab G->X 0x8ff134ab G->X G->Y LINK LIST To allocate dynamic allocation  and  store address in point g    
struct STACK // structure for stack { int data; STACK *link;  }; struct *TOP;  LINK STACK To hold address of First node of the list TOP pointer to holds address of dynamic objects of link stack. As we push a node TOP element get shifted and new node becomes first node.  LIFO implementation every new node becomes first node.  When we pop Top node is deleted and next node becomes first node.
Lets see working of  Linked stack * TOP * Temp NULL 0x8ffab2e6   A  new memory  is allocated and address is stored in temp X  NULL data  link 0x8ffab2e6   Top = Temp Top will hold address of new location * TOP 0x8ffab2e6   Thus,  TOP  will have this address. Push operation Initially top is assigned NULL Temp holds address of new location
Cont….. *TOP * Temp 0x8ffab2e6 0x8ffab2e8 Another  new memory  is allocated to an object Y data  link 0x8ffab2e8 * TOP 0x8ffab2e8 X  NULL data  link 0x8ffab2e6 temp-> link = Top Top=temp 0x8ffab2e6 Now TOP is TOP will get shifted Y becomes first node  X becomes second node
Cont….. * TOP * Temp 0x8ffab2e8 0x8ffab2e8 An  object  is deleted from top Y data  link 0x8ffab2e8 Thus Top will be * TOP 0x8ffab2e6 X  NULL data  link Temp=TOP TOP=TOP->link 0x8ffab2e6 delete temp  (to release memory) 0x8ffab2e6 TOP will get shifted X becomes first node  Y will be released POP operation
Lets see this using a program Program Code for the Same is  Click here to execute program Click here to see program code
Queues ,[object Object],Queue , when implemented as an array is functionally same as any other array except that here, adding an element and deletion is done from the one direction and deletion from other just like any queue of peoples.
Queues ,[object Object],[object Object],[object Object],Implementation of queue in computers ,[object Object]
Queue A Queue is a data structure in which insertion is done at the end and deletion is done from the front of queue. It is FIFO . Representation  of Queue Each one of the above has two  open  end Front and Rear. Insertion is done from Rear and deletion form Front Rear Front Front Rear Front Rear Front Rear data4 data3 data2 data2 data3 data4 data4 data3 data2 data2 data3 data4
Basic operation and implementation of QUEUE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
QUEUE The fundamental operations that can be performed on Queue are  Insert and Delete . When element is added on the Queue Front is called  Insert .  And When Data is removed from the Queue Rear, the operation is called  Delete.
QUEUE The Queue operation can be explained as follows:   Queue operation Content of array Insert(a)   Front=0 Rear=0 Insert(b)  Front=0 Rear=1 Insert( c)   Front=0 Rear=2 Delete()   Front=1 Rear=2 Delete()   Front=2 Rear=2 If we try to insert Overflow occurs Though first two cells are empty a b a c b a c b c
Linear Queue int Q[5]; When  INSERT  is selected,  Rear  is  incremented, And data is added at that subscript location When  DELETE  is selected,  Front  is  decremented, And data is removed from that subscript location Queue array int Front, Rear; To hold address of location where data is inserted or deleted
QUEUE ,[object Object],[object Object],[object Object],[object Object]
Lets see working of  LINEAR QUEUE Insert 7 Insert 20 Insert 14 OVERFLOW QUEUE  is full Front  rear rear rear Front Front Rear is incremented Rear++ 10 9 8 10 9 8 7 10 9 8 7 20
Lets see working of Queue as an array Delete Delete Underflow occurs when QUEUE  is empty Rear Front Rear Rear Front Front Front is incremented Front++ 10 9 8 7 20 9 8 7 20 8 7 20
Lets see this using a program Program Code for the Same is  Click here to execute program Click here to see program code
struct QUEUE // structure for QUEU { int data; QUEUE *link;  }; struct *Front,*Rear;  LINKED QUEUE To hold address of First and Last node of the list Front and Rear  pointer to holds address of dynamic objects of link stack. As we insert a node Rear element get shifted and new node becomes next node.  FIFO implementation every new node added at end. When we Delete Front node is deleted and next node becomes first node.
Lets see working of  Linked Queue * Front  * Rear * Temp NULL  NULL 0x8ffab2e6   A  new memory  is allocated and address is stored in temp X  NULL data  link 0x8ffab2e6   Front=Rear  = Temp Front and Rear  will hold address of First location * Front  * Rear 0x8ffab2e6   0x8ffab2e6   Thus,  Front and Rear  will have this address . Insert operation Initially Front and Rear is assigned NULL Temp holds address of new location
Cont….. *Front  * Rear * Temp 0x8ffab2e6  0x8ffab2e6 0x8ffab2e8 Another  new memory  is allocated to an object X data  link 0x8ffab2e6 * Rear 0x8ffab2e8 Y  NULL data  link 0x8ffab2e8 temp-> link = Rear Rear=temp 0x8ffab2e8 Now Rear is Rear will get shifted Y becomes Last node
Cont….. * Front  * Rear * Temp 0x8ffab2e6 0x8ffab2e8 0x8ffab2e6 An  object  is deleted from Front X data  link 0x8ffab2e6 Thus Front will be * Front 0x8ffab2e8 Y  NULL data  link Temp=Front Front=Front->link 0x8ffab2e8 delete temp  (to release memory) 0x8ffab2e8 Front will get shifted Y becomes first node  X will be released Delete operation
Lets see this using a program Program Code for the Same is  Click here to execute program Click here to see program code
CIRCULAR QUEUE The fundamental operations that can be performed on Circular Queue are  Insert and Delete . When overflow occurs though the free cells are available, Rear reaches ends Circular Queue is implemented to avoid this drawback. In Circular Queue as soon as Rear reaches maximum it should reset to 0.
QUEUE The Queue operation can be explained as follows:   Queue operation Content of array Insert(a)   Front=0 Rear=0 Insert(b)  Front=0 Rear=1 Insert( c)   Front=0 Rear=2 Delete()   Front=1 Rear=2 Insert (d)   Front=2 Rear=0 Overflow occurs only when Array is FULL. Rear moves to 0 if array is empty a b a c b a c b c d
Lets see this using a program Program Code for the Same is  Click here to execute program Click here to see program code
Do you have any QUESTIONS ?
TEST YOUR KNOWLEDGE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
THANKS NITI ARORA FROM

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

DATA STRUCTURES
DATA STRUCTURESDATA STRUCTURES
DATA STRUCTURES
 
Introduction to data structure
Introduction to data structure Introduction to data structure
Introduction to data structure
 
Queue in Data Structure
Queue in Data Structure Queue in Data Structure
Queue in Data Structure
 
Queue - Data Structure - Notes
Queue - Data Structure - NotesQueue - Data Structure - Notes
Queue - Data Structure - Notes
 
What is Stack, Its Operations, Queue, Circular Queue, Priority Queue
What is Stack, Its Operations, Queue, Circular Queue, Priority QueueWhat is Stack, Its Operations, Queue, Circular Queue, Priority Queue
What is Stack, Its Operations, Queue, Circular Queue, Priority Queue
 
Linked list
Linked listLinked list
Linked list
 
Queue data structure
Queue data structureQueue data structure
Queue data structure
 
Ppt on Linked list,stack,queue
Ppt on Linked list,stack,queuePpt on Linked list,stack,queue
Ppt on Linked list,stack,queue
 
Binary search tree operations
Binary search tree operationsBinary search tree operations
Binary search tree operations
 
Linked List
Linked ListLinked List
Linked List
 
Linked list
Linked list Linked list
Linked list
 
Queue as data_structure
Queue as data_structureQueue as data_structure
Queue as data_structure
 
Data structure stack&queue basics
Data structure stack&queue   basicsData structure stack&queue   basics
Data structure stack&queue basics
 
Stack and its Applications : Data Structures ADT
Stack and its Applications : Data Structures ADTStack and its Applications : Data Structures ADT
Stack and its Applications : Data Structures ADT
 
Stacks & Queues By Ms. Niti Arora
Stacks & Queues By Ms. Niti AroraStacks & Queues By Ms. Niti Arora
Stacks & Queues By Ms. Niti Arora
 
single linked list
single linked listsingle linked list
single linked list
 
stack & queue
stack & queuestack & queue
stack & queue
 
Doubly Linked List
Doubly Linked ListDoubly Linked List
Doubly Linked List
 
Data structure by Digvijay
Data structure by DigvijayData structure by Digvijay
Data structure by Digvijay
 
Stack Data Structure
Stack Data StructureStack Data Structure
Stack Data Structure
 

Destaque (7)

Solo En Mexico1
Solo En Mexico1 Solo En Mexico1
Solo En Mexico1
 
Welcome+To+Penghu
Welcome+To+PenghuWelcome+To+Penghu
Welcome+To+Penghu
 
Del.Icio.Us
Del.Icio.UsDel.Icio.Us
Del.Icio.Us
 
Reforma Religiosa
Reforma ReligiosaReforma Religiosa
Reforma Religiosa
 
Nielsen Online Cristina Papini Osservatorio Multicanalità2007 15112007
Nielsen Online Cristina Papini Osservatorio Multicanalità2007 15112007Nielsen Online Cristina Papini Osservatorio Multicanalità2007 15112007
Nielsen Online Cristina Papini Osservatorio Multicanalità2007 15112007
 
5 4a Slope Intercept form
5 4a Slope Intercept form5 4a Slope Intercept form
5 4a Slope Intercept form
 
Cogneon Praesentation N2early 2007 11 15
Cogneon Praesentation   N2early 2007 11 15Cogneon Praesentation   N2early 2007 11 15
Cogneon Praesentation N2early 2007 11 15
 

Semelhante a Stacks & Queues

Stacks queues-1220971554378778-9
Stacks queues-1220971554378778-9Stacks queues-1220971554378778-9
Stacks queues-1220971554378778-9
Getachew Ganfur
 
Stack linked list
Stack linked listStack linked list
Stack linked list
bhargav0077
 

Semelhante a Stacks & Queues (20)

Rana Junaid Rasheed
Rana Junaid RasheedRana Junaid Rasheed
Rana Junaid Rasheed
 
Stacks queues-1220971554378778-9
Stacks queues-1220971554378778-9Stacks queues-1220971554378778-9
Stacks queues-1220971554378778-9
 
Stack and Queue
Stack and Queue Stack and Queue
Stack and Queue
 
STACK, LINKED LIST ,AND QUEUE
STACK, LINKED LIST ,AND QUEUESTACK, LINKED LIST ,AND QUEUE
STACK, LINKED LIST ,AND QUEUE
 
Stacks in c++
Stacks in c++Stacks in c++
Stacks in c++
 
chapter three ppt.pptx
chapter three ppt.pptxchapter three ppt.pptx
chapter three ppt.pptx
 
Stack data structure
Stack data structureStack data structure
Stack data structure
 
STACK1.pptx
STACK1.pptxSTACK1.pptx
STACK1.pptx
 
04 stacks
04 stacks04 stacks
04 stacks
 
Data Structure
Data Structure Data Structure
Data Structure
 
Stacks,queues,linked-list
Stacks,queues,linked-listStacks,queues,linked-list
Stacks,queues,linked-list
 
Stacks Data structure.pptx
Stacks Data structure.pptxStacks Data structure.pptx
Stacks Data structure.pptx
 
Stack linked list
Stack linked listStack linked list
Stack linked list
 
stacks and queues
stacks and queuesstacks and queues
stacks and queues
 
Stack and Queue by M.Gomathi Lecturer
Stack and Queue by M.Gomathi LecturerStack and Queue by M.Gomathi Lecturer
Stack and Queue by M.Gomathi Lecturer
 
Data structure Stack
Data structure StackData structure Stack
Data structure Stack
 
Difference between stack and queue
Difference between stack and queueDifference between stack and queue
Difference between stack and queue
 
Bsc cs ii dfs u-2 linklist,stack,queue
Bsc cs ii  dfs u-2 linklist,stack,queueBsc cs ii  dfs u-2 linklist,stack,queue
Bsc cs ii dfs u-2 linklist,stack,queue
 
9 python data structure-2
9 python data structure-29 python data structure-2
9 python data structure-2
 
Mca ii dfs u-3 linklist,stack,queue
Mca ii dfs u-3 linklist,stack,queueMca ii dfs u-3 linklist,stack,queue
Mca ii dfs u-3 linklist,stack,queue
 

Mais de tech4us (8)

Edge1
Edge1Edge1
Edge1
 
Kmap Slideshare
Kmap SlideshareKmap Slideshare
Kmap Slideshare
 
Kmap Slideshare
Kmap SlideshareKmap Slideshare
Kmap Slideshare
 
Cruched Eau
Cruched EauCruched Eau
Cruched Eau
 
Sql
SqlSql
Sql
 
Rdbms
RdbmsRdbms
Rdbms
 
Pointers (Pp Tminimizer)
Pointers (Pp Tminimizer)Pointers (Pp Tminimizer)
Pointers (Pp Tminimizer)
 
eBeam : Intractive Whiteboard System
eBeam : Intractive Whiteboard SystemeBeam : Intractive Whiteboard System
eBeam : Intractive Whiteboard System
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 

Stacks & Queues

  • 1. Let’s learn TACKS & UEUES for CLASS XII( C++) SENIOR SECONDARY GROUP Presented By : NITI ARORA
  • 2. STACKS AND QUEUES
  • 3.
  • 4. A mathematical and logical model of data is known as Data Structure .   Primitive data structure : The data structure, which is available in the compiler, is known as a primitive data structure . Non-primitive data structure : The data structure, which is not available in the compiler, is known as non-primitive data structure .   DATA STRUCTURE: INTRODUCTION
  • 5.   Linear Data Structure : The data structure in which each element has access to maximum of one predecessor element and maximum of one successor element is known as linear data structure . Example: Stack, Queue, etc . Non-linear Data Structure : The data structure in which each element can access any number of predecessor elements and any number of successor elements is known as Non-linear data structure . Example: Tree, Graphs, etc .   DATA STRUCTURE: INTRODUCTION
  • 6. Static Data Structure: The data structure in which the number of elements is fixed, is known as Static Data Structure . Example: Arrays Dynamic Data Structure: The data structure in which the number of elements is not fixed, is known as Dynamic Data Structure . Example: Linked List. TYPES OF DATA STRUCTURE
  • 7. It is a static data structure . It is a homogeneous collection of data. The elements in the array are stored on consecutive memory locations. Array is also known as a subscripted variable, e.g., A[i] is i th element of the array A. ARRAY
  • 8. STACK It is a non-primitive linear data structure in which insertion and deletion of elements takes place from only one end , known as top. It is a non-primitive linear data structure in which insertion and deletion of elements takes place from two opposite ends rear and front respectively. QUEUE
  • 9. STACKS Stacks is LIFO (Last In First Out) structure and physically can be implemented as an array or as a linked list. Stack, when implemented as an array is functionally same as any other array except that here, adding an element and deletion is done from the same direction just like a pile of books.
  • 10.
  • 11. STACK A stack is a list in which insertion and deletion takes place only at one end called top. Thus, called LIFO. Representation of STACK Each one of the above has one open and one close end and data movement takes place from open end . data4 TOP data3 data2 data1 data2 data1 data3 data4 TOP TOP data4 data3 data2 data1 data1 data2 data3 data4 TOP
  • 12.
  • 13. STACKS The fundamental operations that can be performed on stack are PUSH and POP . When element is added on the stack top is called PUSH . And When Data is removed from the stack top, the operation is called POP.
  • 14. STACK The stack operation can be explained as follows: Stack operation Content of array Push(a) a Push(b) ba Push( c) cba Pop() ba Pop() a Push (a) a b a Push(b) b a C Push( c) b a Pop( c) a Pop(b)
  • 15.
  • 16. Linear Stack int S[5]; When PUSH is selected, TOP is incremented, And data is added at that subscript location When POP is selected, TOP is decremented, And data is removed from that subscript location Stack array int TOP; To hold address of location where data is inserted or deleted
  • 17.
  • 18.
  • 19. Lets see this using a program Program Code for the Same is Click here to execute program Click here to see program code
  • 20. A variable which holds an address of a memory location of another variable is known as a Pointer Variable (or only pointer). Example int amt, *p; amt Requires 2 bytes 0x8ffebab4 *P Requires 2 bytes Pointer P holds address of amt POINTER     900     0x8ffebab4
  • 21. NEW operator in C++ returns the address of a block of unallocated bytes (depending on data type a pointer pointing to). DELETE operator in C++ reverses the process of new operator, by releasing the memory location from a pointer. It de allocates memory assigned by NEW. DYNAMIC ALLOCATION
  • 22. A pointer, which stores the address of struct type data, is known as Pointer to structure. struct abc { int X,Y; }; struct *g=new abc; Holds address of dynamic object of struct abc   G   0x8ff134ab G->X 0x8ff134ab G->X G->Y LINK LIST To allocate dynamic allocation and store address in point g    
  • 23. struct STACK // structure for stack { int data; STACK *link; }; struct *TOP; LINK STACK To hold address of First node of the list TOP pointer to holds address of dynamic objects of link stack. As we push a node TOP element get shifted and new node becomes first node. LIFO implementation every new node becomes first node. When we pop Top node is deleted and next node becomes first node.
  • 24. Lets see working of Linked stack * TOP * Temp NULL 0x8ffab2e6 A new memory is allocated and address is stored in temp X NULL data link 0x8ffab2e6 Top = Temp Top will hold address of new location * TOP 0x8ffab2e6 Thus, TOP will have this address. Push operation Initially top is assigned NULL Temp holds address of new location
  • 25. Cont….. *TOP * Temp 0x8ffab2e6 0x8ffab2e8 Another new memory is allocated to an object Y data link 0x8ffab2e8 * TOP 0x8ffab2e8 X NULL data link 0x8ffab2e6 temp-> link = Top Top=temp 0x8ffab2e6 Now TOP is TOP will get shifted Y becomes first node X becomes second node
  • 26. Cont….. * TOP * Temp 0x8ffab2e8 0x8ffab2e8 An object is deleted from top Y data link 0x8ffab2e8 Thus Top will be * TOP 0x8ffab2e6 X NULL data link Temp=TOP TOP=TOP->link 0x8ffab2e6 delete temp (to release memory) 0x8ffab2e6 TOP will get shifted X becomes first node Y will be released POP operation
  • 27. Lets see this using a program Program Code for the Same is Click here to execute program Click here to see program code
  • 28.
  • 29.
  • 30. Queue A Queue is a data structure in which insertion is done at the end and deletion is done from the front of queue. It is FIFO . Representation of Queue Each one of the above has two open end Front and Rear. Insertion is done from Rear and deletion form Front Rear Front Front Rear Front Rear Front Rear data4 data3 data2 data2 data3 data4 data4 data3 data2 data2 data3 data4
  • 31.
  • 32. QUEUE The fundamental operations that can be performed on Queue are Insert and Delete . When element is added on the Queue Front is called Insert . And When Data is removed from the Queue Rear, the operation is called Delete.
  • 33. QUEUE The Queue operation can be explained as follows: Queue operation Content of array Insert(a) Front=0 Rear=0 Insert(b) Front=0 Rear=1 Insert( c) Front=0 Rear=2 Delete() Front=1 Rear=2 Delete() Front=2 Rear=2 If we try to insert Overflow occurs Though first two cells are empty a b a c b a c b c
  • 34. Linear Queue int Q[5]; When INSERT is selected, Rear is incremented, And data is added at that subscript location When DELETE is selected, Front is decremented, And data is removed from that subscript location Queue array int Front, Rear; To hold address of location where data is inserted or deleted
  • 35.
  • 36. Lets see working of LINEAR QUEUE Insert 7 Insert 20 Insert 14 OVERFLOW QUEUE is full Front rear rear rear Front Front Rear is incremented Rear++ 10 9 8 10 9 8 7 10 9 8 7 20
  • 37. Lets see working of Queue as an array Delete Delete Underflow occurs when QUEUE is empty Rear Front Rear Rear Front Front Front is incremented Front++ 10 9 8 7 20 9 8 7 20 8 7 20
  • 38. Lets see this using a program Program Code for the Same is Click here to execute program Click here to see program code
  • 39. struct QUEUE // structure for QUEU { int data; QUEUE *link; }; struct *Front,*Rear; LINKED QUEUE To hold address of First and Last node of the list Front and Rear pointer to holds address of dynamic objects of link stack. As we insert a node Rear element get shifted and new node becomes next node. FIFO implementation every new node added at end. When we Delete Front node is deleted and next node becomes first node.
  • 40. Lets see working of Linked Queue * Front * Rear * Temp NULL NULL 0x8ffab2e6 A new memory is allocated and address is stored in temp X NULL data link 0x8ffab2e6 Front=Rear = Temp Front and Rear will hold address of First location * Front * Rear 0x8ffab2e6 0x8ffab2e6 Thus, Front and Rear will have this address . Insert operation Initially Front and Rear is assigned NULL Temp holds address of new location
  • 41. Cont….. *Front * Rear * Temp 0x8ffab2e6 0x8ffab2e6 0x8ffab2e8 Another new memory is allocated to an object X data link 0x8ffab2e6 * Rear 0x8ffab2e8 Y NULL data link 0x8ffab2e8 temp-> link = Rear Rear=temp 0x8ffab2e8 Now Rear is Rear will get shifted Y becomes Last node
  • 42. Cont….. * Front * Rear * Temp 0x8ffab2e6 0x8ffab2e8 0x8ffab2e6 An object is deleted from Front X data link 0x8ffab2e6 Thus Front will be * Front 0x8ffab2e8 Y NULL data link Temp=Front Front=Front->link 0x8ffab2e8 delete temp (to release memory) 0x8ffab2e8 Front will get shifted Y becomes first node X will be released Delete operation
  • 43. Lets see this using a program Program Code for the Same is Click here to execute program Click here to see program code
  • 44. CIRCULAR QUEUE The fundamental operations that can be performed on Circular Queue are Insert and Delete . When overflow occurs though the free cells are available, Rear reaches ends Circular Queue is implemented to avoid this drawback. In Circular Queue as soon as Rear reaches maximum it should reset to 0.
  • 45. QUEUE The Queue operation can be explained as follows: Queue operation Content of array Insert(a) Front=0 Rear=0 Insert(b) Front=0 Rear=1 Insert( c) Front=0 Rear=2 Delete() Front=1 Rear=2 Insert (d) Front=2 Rear=0 Overflow occurs only when Array is FULL. Rear moves to 0 if array is empty a b a c b a c b c d
  • 46. Lets see this using a program Program Code for the Same is Click here to execute program Click here to see program code
  • 47. Do you have any QUESTIONS ?
  • 48.