Stack and Queue (brief)
1 like720 views
The document discusses stacks and queues. A stack follows the LIFO (last in, first out) principle where the last element added is the first to be removed. Real-world examples include plates and books. Queues follow the FIFO (first in, first out) principle where the first element added is the first to be removed, as seen with ticket lines. Visual simulations and examples of using stacks for recursion and queues for threading are provided.
1 of 9
Downloaded 73 times
Ad
Recommended
U3.stack queue
U3.stack queueSsankett Negi A queue is a data structure that follows the first-in, first-out (FIFO) principle. Elements are added to the rear of the queue and removed from the front. A queue can be implemented using an array, with indexes to track the front and rear elements. When an element is added (enqueued), the rear index is incremented; when an element is removed (dequeued), the front index is incremented and the element at that index is returned. The queue has a limited capacity based on the size of the array.
Data Structures - Lecture 6 [queues]
Data Structures - Lecture 6 [queues]Muhammad Hammad Waseem The document discusses queues, which are a data structure that provides first-in, first-out (FIFO) access to elements. Queues are useful for applications like print jobs and network communications where elements need to be processed in the order they are received. The key queue operations are enqueue, which inserts an element at the rear, and dequeue, which removes an element from the front. The document provides code for an IntQueue class that implements these operations using a circular array to represent the queue.
My lecture stack_queue_operation
My lecture stack_queue_operationSenthil Kumar This document discusses stacks and queues as data structures. It begins by introducing stacks and their LIFO (last-in, first-out) operation. Common applications of stacks are then described, such as function calls, calculators, mazes, and undo functions. Static and dynamic stack implementations using arrays and linked lists are covered. The document then introduces queues and their FIFO (first-in, first-out) operation. Example applications of queues like print jobs and round robin scheduling are provided. Finally, the operations and implementations of queues are discussed at a high level.
stack & queue
stack & queuemanju rani This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.
Stack and queue
Stack and queueKatang Isip Stack and Queue data structures are described. A Stack follows LIFO (last-in, first-out) where elements can only be inserted and removed from one end. Common stack operations are push, pop, and peek. A Queue follows FIFO (first-in, first-out) where elements can only be inserted at the rear and removed from the front. Common queue operations are enqueue and dequeue. Both can be implemented using arrays or linked lists. A circular array implementation improves the efficiency of dequeuing from a queue.
Fallsem2015 16 cp1699-20-jul-2015_rm01_stacks_and_queues
Fallsem2015 16 cp1699-20-jul-2015_rm01_stacks_and_queuesSnehilKeshari This document discusses various abstract data types (ADTs) including stacks, queues, priority queues, and deque. It provides code examples and explanations of how each ADT works, including common operations like push, pop, enqueue, dequeue. Specific applications are given like using stacks for reversing words or checking brackets in expressions. Implementation details are abstracted away and complexity analyses are provided for common operations.
Stacks, Queues, Deques
Stacks, Queues, DequesA-Tech and Software Development Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
Stack and Queue
Stack and Queue Apurbo Datta The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
03 stacks and_queues_using_arrays
03 stacks and_queues_using_arraystameemyousaf The document discusses stacks and their implementation and applications. Stacks are LIFO data structures that can be implemented using arrays. Key operations on stacks include push, pop, peek, isEmpty and isFull. Stacks have various applications including expression evaluation, recursion, function calls and memory management. Stacks can grow either upwards or downwards in the array.
Stacks and queues
Stacks and queuesAbbott This document discusses stacks and queues as data structures. It describes stacks as containers that follow the last-in first-out (LIFO) principle, allowing only push and pop operations. Queues are containers that follow the first-in first-out (FIFO) principle, allowing enqueue and dequeue operations. Examples of stack applications include reversing words and undo mechanisms. Pseudocode is provided for adding and removing items from both stacks and queues.
Stack and its operations
Stack and its operationsV.V.Vanniaperumal College for Women This document discusses stacks and their operations. It defines a stack as a linear data structure that follows LIFO (last-in, first-out) ordering. Elements are inserted and removed from one end only, called pushing and popping. Stacks have common real-world examples like decks of cards. They can be represented using arrays or linked lists. The core stack operations are push, which adds an element, and pop, which removes the top element. Additional operations check the stack status, like if it is full or empty. Pseudocode is provided for implementing push, pop, and status checks in both array-based and linked list-based stacks.
Stacks and Queue - Data Structures
Stacks and Queue - Data StructuresDr. Jasmine Beulah Gnanadurai The document discusses stacks and queues as abstract data types. It describes their basic operations and implementations using arrays. Stacks follow LIFO (last-in, first-out) order and can be used for applications like undo operations. Queues follow FIFO (first-in, first-out) order and can be used where ordering of elements is important, like in printing queues. The document also discusses infix, prefix and postfix notations for arithmetic expressions and provides an algorithm to convert infix to postfix notation using a stack. Finally, it describes different types of queues including linear and circular queues.
Stacks and queue
Stacks and queueAmit Vats Stacks and queues are common data structures that store and retrieve elements in specific orders. Stacks follow a last-in, first-out (LIFO) order, while queues follow a first-in, first-out (FIFO) order. Stacks and queues can be implemented using arrays or linked lists, and the document describes classes for integer stacks and queues that demonstrate push, pop, enqueue, and dequeue operations. Sample programs test the stack and queue classes by pushing/enqueueing and popping/dequeuing elements.
Stacks in c++
Stacks in c++Vineeta Garg The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
Stack queue
Stack queueHarry Potter The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queue operations like enqueue and dequeue. Queues follow FIFO order and can also be implemented using arrays or linked lists. It provides examples of implementing both stacks and queues as classes with the appropriate member functions.
Stack and Queue by M.Gomathi Lecturer
Stack and Queue by M.Gomathi Lecturergomathi chlm This document discusses stacks and queues as abstract data structures. Stacks follow LIFO (last in first out) order, adding and removing elements from one end. Queues follow FIFO (first in first out) order, adding to one end (rear) and removing from the other (front). The document provides examples of stack and queue applications and implementations using arrays.
Stack Implementation
Stack ImplementationZidny Nafan The document discusses stacks and their implementation in Java using BlueJ. It explains what BlueJ is and how stacks can be implemented using static or dynamic data structures. It then provides code for a Stack class that implements a stack using an array to store objects. Methods like push(), pop(), isEmpty() etc are included. It also provides code for a StackTester class to demonstrate how the Stack class can be used by adding and removing integers. Exercises are included to modify StackTester to use strings instead of integers and to use a stack to check bracket balancing in code.
Stacks
Stackssardorbek mamazhanov A stack is a last-in, first-out data structure where only the top element can be accessed. Elements can be added with push() and removed with pop(). Stacks have various implementations including arrays, vectors, and linked lists. Arrays have fixed size but best performance while vectors grow dynamically but may be slow if resizing. Linked lists allow constant time push/pop but are generally slower. Stacks have many applications including parsing with delimiters, operating system function calls, reverse polish notation calculators, and pathfinding algorithms.
stack presentation
stack presentationShivalik college of engineering The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Stack in Sata Structure
Stack in Sata StructureMuhazzab Chouhadry The document discusses abstract data types (ADTs) with a focus on stacks, defining their properties and operations like push, pop, and peek. It explains two implementations of stacks, through static arrays and dynamic linked lists, highlighting the advantages and limitations of each method. The document also covers real-life applications of stacks, as well as their use in evaluating expressions with a detailed explanation of infix, prefix, and postfix notations.
Queue Data Structure (w/ php egs)
Queue Data Structure (w/ php egs)Roman Rodomansky Queue data structures allow for first-in, first-out access to elements. They have two ends - a head for removing elements and a tail for adding elements. Common implementations include arrays, linked lists, and stacks. Priority queues order elements by priority when removing them. Double-ended queues allow adding/removing from either end.
Stacks and queues
Stacks and queuesTrupti Agrawal The document discusses stacks and queues. Stacks are linear lists where additions and removals occur at one end, called the top. Stacks follow LIFO order. Queues are linear lists where additions occur at one end, called the rear, and removals occur at the other end, called the front, following FIFO order. Common stack and queue operations and implementations using arrays are described. Examples like the Towers of Hanoi problem and rat in a maze demonstrate stack and queue applications.
Queue Data Structure
Queue Data StructureLovely Professional University The document provides a comprehensive overview of queues, including their definition as a FIFO data structure where insertion occurs at the rear and deletion at the front. It covers various types of queues such as circular queues, double-ended queues (deques), and priority queues, as well as their applications in both real life and computer science, such as job scheduling and resource management. The document also discusses operations related to each type of queue and their specific functionalities.
stacks and queues
stacks and queuesDurgaDeviCbit The document discusses stacks and queues. It begins by defining a stack as a collection of homogeneous data elements where insertion and deletion occurs at one end, known as the top. The stack follows the LIFO (last in, first out) principle. Common stack operations like push and pop are introduced. Implementing stacks using both arrays and linked lists is covered. Applications of stacks like balancing symbols, recursion, undo operations are mentioned. The document then moves to discussing queues, their applications and implementations. Priority queues and their applications are also briefly covered.
Queue Implementation Using Array & Linked List
Queue Implementation Using Array & Linked ListPTCL This document describes two implementations of a queue data structure in C++. A queue uses the First In First Out (FIFO) principle to add and remove elements. Elements can be added to the rear of the queue using the Enque operation and removed from the front using the Deque operation. The first implementation uses an array to store queue elements, while the second uses linked nodes to dynamically allocate memory for elements as they are added. Both implementations provide functions for Enqueuing, Dequeuing, checking if the queue is empty, and displaying the queue elements.
Stack - Data Structure
Stack - Data StructureBhavesh Sanghvi This document discusses stacks, which are data structures that only allow adding or removing items from the top. The key operations are push to add an item and pop to remove an item, making stacks follow LIFO (last in, first out) order. Stacks have many uses like evaluating expressions, where a postfix expression uses a stack to evaluate terms without regard for precedence rules. The document also covers converting infix expressions to postfix and prefix forms using a stack.
Queue data structure
Queue data structureMekk Mhmd The document discusses queues and their implementation and applications. It begins by describing the physical nature of queues and some real-world examples where queues are used, such as waiting in line. It then defines queues as abstract data types and common queue operations like enqueue and dequeue. The document provides examples of implementing queues using arrays and linked lists, including pseudocode for basic queue methods. It also demonstrates using queues in C# code and discusses edge cases like empty queues.
More Related Content
What's hot (19)
03 stacks and_queues_using_arrays
03 stacks and_queues_using_arraystameemyousaf The document discusses stacks and their implementation and applications. Stacks are LIFO data structures that can be implemented using arrays. Key operations on stacks include push, pop, peek, isEmpty and isFull. Stacks have various applications including expression evaluation, recursion, function calls and memory management. Stacks can grow either upwards or downwards in the array.
Stacks and queues
Stacks and queuesAbbott This document discusses stacks and queues as data structures. It describes stacks as containers that follow the last-in first-out (LIFO) principle, allowing only push and pop operations. Queues are containers that follow the first-in first-out (FIFO) principle, allowing enqueue and dequeue operations. Examples of stack applications include reversing words and undo mechanisms. Pseudocode is provided for adding and removing items from both stacks and queues.
Stack and its operations
Stack and its operationsV.V.Vanniaperumal College for Women This document discusses stacks and their operations. It defines a stack as a linear data structure that follows LIFO (last-in, first-out) ordering. Elements are inserted and removed from one end only, called pushing and popping. Stacks have common real-world examples like decks of cards. They can be represented using arrays or linked lists. The core stack operations are push, which adds an element, and pop, which removes the top element. Additional operations check the stack status, like if it is full or empty. Pseudocode is provided for implementing push, pop, and status checks in both array-based and linked list-based stacks.
Stacks and Queue - Data Structures
Stacks and Queue - Data StructuresDr. Jasmine Beulah Gnanadurai The document discusses stacks and queues as abstract data types. It describes their basic operations and implementations using arrays. Stacks follow LIFO (last-in, first-out) order and can be used for applications like undo operations. Queues follow FIFO (first-in, first-out) order and can be used where ordering of elements is important, like in printing queues. The document also discusses infix, prefix and postfix notations for arithmetic expressions and provides an algorithm to convert infix to postfix notation using a stack. Finally, it describes different types of queues including linear and circular queues.
Stacks and queue
Stacks and queueAmit Vats Stacks and queues are common data structures that store and retrieve elements in specific orders. Stacks follow a last-in, first-out (LIFO) order, while queues follow a first-in, first-out (FIFO) order. Stacks and queues can be implemented using arrays or linked lists, and the document describes classes for integer stacks and queues that demonstrate push, pop, enqueue, and dequeue operations. Sample programs test the stack and queue classes by pushing/enqueueing and popping/dequeuing elements.
Stacks in c++
Stacks in c++Vineeta Garg The document discusses stacks in C++. It defines a stack as a data structure that follows LIFO (Last In First Out) principle where the last element added is the first to be removed. Stacks can be implemented using arrays or linked lists. The key operations on a stack are push which adds an element and pop which removes an element. Example applications of stacks include function call stacks, converting infix to postfix notation, and reversing arrays.
Stack queue
Stack queueHarry Potter The document discusses stacks and queues as data structures. It begins by defining a Node struct and List class to implement a linked list. It then provides an overview of stacks, including common stack operations like push and pop. Stacks follow LIFO order and can be implemented using arrays or linked lists. The document also discusses queue operations like enqueue and dequeue. Queues follow FIFO order and can also be implemented using arrays or linked lists. It provides examples of implementing both stacks and queues as classes with the appropriate member functions.
Stack and Queue by M.Gomathi Lecturer
Stack and Queue by M.Gomathi Lecturergomathi chlm This document discusses stacks and queues as abstract data structures. Stacks follow LIFO (last in first out) order, adding and removing elements from one end. Queues follow FIFO (first in first out) order, adding to one end (rear) and removing from the other (front). The document provides examples of stack and queue applications and implementations using arrays.
Stack Implementation
Stack ImplementationZidny Nafan The document discusses stacks and their implementation in Java using BlueJ. It explains what BlueJ is and how stacks can be implemented using static or dynamic data structures. It then provides code for a Stack class that implements a stack using an array to store objects. Methods like push(), pop(), isEmpty() etc are included. It also provides code for a StackTester class to demonstrate how the Stack class can be used by adding and removing integers. Exercises are included to modify StackTester to use strings instead of integers and to use a stack to check bracket balancing in code.
Stacks
Stackssardorbek mamazhanov A stack is a last-in, first-out data structure where only the top element can be accessed. Elements can be added with push() and removed with pop(). Stacks have various implementations including arrays, vectors, and linked lists. Arrays have fixed size but best performance while vectors grow dynamically but may be slow if resizing. Linked lists allow constant time push/pop but are generally slower. Stacks have many applications including parsing with delimiters, operating system function calls, reverse polish notation calculators, and pathfinding algorithms.
stack presentation
stack presentationShivalik college of engineering The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Stack in Sata Structure
Stack in Sata StructureMuhazzab Chouhadry The document discusses abstract data types (ADTs) with a focus on stacks, defining their properties and operations like push, pop, and peek. It explains two implementations of stacks, through static arrays and dynamic linked lists, highlighting the advantages and limitations of each method. The document also covers real-life applications of stacks, as well as their use in evaluating expressions with a detailed explanation of infix, prefix, and postfix notations.
Queue Data Structure (w/ php egs)
Queue Data Structure (w/ php egs)Roman Rodomansky Queue data structures allow for first-in, first-out access to elements. They have two ends - a head for removing elements and a tail for adding elements. Common implementations include arrays, linked lists, and stacks. Priority queues order elements by priority when removing them. Double-ended queues allow adding/removing from either end.
Stacks and queues
Stacks and queuesTrupti Agrawal The document discusses stacks and queues. Stacks are linear lists where additions and removals occur at one end, called the top. Stacks follow LIFO order. Queues are linear lists where additions occur at one end, called the rear, and removals occur at the other end, called the front, following FIFO order. Common stack and queue operations and implementations using arrays are described. Examples like the Towers of Hanoi problem and rat in a maze demonstrate stack and queue applications.
Queue Data Structure
Queue Data StructureLovely Professional University The document provides a comprehensive overview of queues, including their definition as a FIFO data structure where insertion occurs at the rear and deletion at the front. It covers various types of queues such as circular queues, double-ended queues (deques), and priority queues, as well as their applications in both real life and computer science, such as job scheduling and resource management. The document also discusses operations related to each type of queue and their specific functionalities.
stacks and queues
stacks and queuesDurgaDeviCbit The document discusses stacks and queues. It begins by defining a stack as a collection of homogeneous data elements where insertion and deletion occurs at one end, known as the top. The stack follows the LIFO (last in, first out) principle. Common stack operations like push and pop are introduced. Implementing stacks using both arrays and linked lists is covered. Applications of stacks like balancing symbols, recursion, undo operations are mentioned. The document then moves to discussing queues, their applications and implementations. Priority queues and their applications are also briefly covered.
Queue Implementation Using Array & Linked List
Queue Implementation Using Array & Linked ListPTCL This document describes two implementations of a queue data structure in C++. A queue uses the First In First Out (FIFO) principle to add and remove elements. Elements can be added to the rear of the queue using the Enque operation and removed from the front using the Deque operation. The first implementation uses an array to store queue elements, while the second uses linked nodes to dynamically allocate memory for elements as they are added. Both implementations provide functions for Enqueuing, Dequeuing, checking if the queue is empty, and displaying the queue elements.
Stack - Data Structure
Stack - Data StructureBhavesh Sanghvi This document discusses stacks, which are data structures that only allow adding or removing items from the top. The key operations are push to add an item and pop to remove an item, making stacks follow LIFO (last in, first out) order. Stacks have many uses like evaluating expressions, where a postfix expression uses a stack to evaluate terms without regard for precedence rules. The document also covers converting infix expressions to postfix and prefix forms using a stack.
Queue data structure
Queue data structureMekk Mhmd The document discusses queues and their implementation and applications. It begins by describing the physical nature of queues and some real-world examples where queues are used, such as waiting in line. It then defines queues as abstract data types and common queue operations like enqueue and dequeue. The document provides examples of implementing queues using arrays and linked lists, including pseudocode for basic queue methods. It also demonstrates using queues in C# code and discusses edge cases like empty queues.
Similar to Stack and Queue (brief) (20)
Stacks and Queues: Essential Data Structures for Efficient Computing with Hiike
Stacks and Queues: Essential Data Structures for Efficient Computing with HiikeHiike The document discusses the fundamental data structures in computer science, specifically stacks and queues, which operate on the last in, first out (LIFO) and first in, first out (FIFO) principles respectively. It highlights the key operations, applications, and comparative advantages of each structure, such as managing function calls with stacks and task scheduling with queues. Implementation details in programming languages like Python are also emphasized, showcasing methods that enhance algorithm efficiency and system performance.
Stack & Queue
Stack & QueueHasan Mahadi Riaz This presentation summarizes stack and queue data structures. It includes:
- An introduction to linear and non-linear data structures, including arrays, stacks, and queues.
- Definitions of stacks as LIFO data structures and queues as FIFO data structures. Operations for each like push, pop, enqueue, dequeue are described.
- Algorithms for common operations on stacks and queues like insertion, deletion, and display are provided in pseudocode.
- Examples of applications of stacks and queues in areas like reversing strings, scheduling, and buffers.
- Differences between stacks and queues are outlined.
- Code examples in C of implementing stack push/pop and queue enqueue/dequeue operations
Stacks.pptx in software engineering in simple understanding
Stacks.pptx in software engineering in simple understandingMohammedAnas871930 The document provides an overview of stacks and queues, covering their definitions, structures, and operations. A stack follows the LIFO principle for insertion and deletion, whereas a queue follows FIFO for managing elements. It also discusses various applications of both data structures, including their use in programming tasks like symbol balancing, string reversal, and memory management.
Module 2 ppt.pptx
Module 2 ppt.pptxSonaPathak4 The document discusses linear data structures and specifically stacks and queues. It defines a stack as a linear data structure that follows the LIFO principle with one end and stack operations like push and pop. A queue has two ends (front and rear) and follows the FIFO principle. Common stack applications include undo/redo operations and recursion. Common queue applications include waiting lists and media playlists. The document also covers array implementations of stacks and queues as well as circular queue implementations to improve memory utilization.
Stack queue
Stack queueMajharoddin Kazi The document discusses stacks and queues, which are linear data structures that maintain order. Stacks follow LIFO (last in, first out) order, where new elements are added to the top and the top element is removed first. Queues follow FIFO (first in, first out) order, where new elements are added to the rear and elements are removed from the front. The document compares stacks and queues, noting that stacks are used for calculations and function calls while queues are used for character buffers and print queues.
DSA MCA Stack-and-Queue-Data-Structures.pptx
DSA MCA Stack-and-Queue-Data-Structures.pptxdeepuranjankumar08 The document explores the fundamentals of stack and queue data structures, highlighting their definitions, principles, operations, and real-world applications. Stacks operate on a last-in-first-out (LIFO) principle, whereas queues follow a first-in-first-out (FIFO) principle, with each having unique operations such as push and pop for stacks, and enqueue and dequeue for queues. Additionally, the document outlines various applications of both data structures in computing and everyday scenarios.
IRJET- Comparison of Stack and Queue Data Structures
IRJET- Comparison of Stack and Queue Data StructuresIRJET Journal This document compares the data structures of stacks and queues. Stacks follow the LIFO (last-in, first-out) principle where elements are inserted and removed from one end, while queues follow the FIFO (first-in, first-out) principle where elements are inserted at the rear and removed from the front. Both can be implemented using arrays. The main operations for stacks are push to insert and pop to remove, while for queues they are insertion to add to the rear and deletion to remove from the front. Stacks have faster insertion and removal times of O(1) compared to queues which have O(1) insertion but O(n) removal in the worst case. Both structures are commonly used in
Ppt presentation of queues
Ppt presentation of queuesBuxoo Abdullah A queue is a first-in, first-out (FIFO) data structure where elements are added at the rear and removed from the front. Real-world examples of queues include lines at ticket windows and luggage check machines where the first person/luggage in is served first. In computing, queues are useful for tasks waiting to access resources like printers or for scheduling jobs on a CPU. Common queue operations are enqueue to add an element to the rear and dequeue to remove an element from the front.
Difference between stack and queue
Difference between stack and queuePulkitmodi1998 Stack and queue are non-primitive data structures that differ in their accessing and adding methods. A stack uses LIFO (last in first out), accessing the last added element first, while a queue uses FIFO (first in first out), accessing the first added element first. A key difference is that a stack has one open end for pushing and popping, while a queue has two open ends for enqueuing and dequeuing. Both data structures are based on real-world equivalents like stacks of CDs and queues for movie tickets.
Data Structures by Maneesh Boddu
Data Structures by Maneesh Boddumaneesh boddu The document discusses various data structures including stacks, queues, and their implementations. It defines stacks as ordered collections where insertion and deletion occurs at one end in a LIFO manner. Queues are defined as collections where insertion occurs at the rear and deletion at the front in a FIFO manner. Circular queues are introduced to avoid overflow in normal queues by allowing insertion at the front when the rear reaches the end. Implementation of stacks and queues using arrays is demonstrated through algorithms for push, pop, add, and delete operations. Applications of these data structures are also briefly mentioned.
Understanding the Concepts and Applications of Stack and Queue
Understanding the Concepts and Applications of Stack and Queuemadhuakash830 A stack of plates in a cupboard is like a stack data structure — you place new plates on top and remove the top plate first.
A line of people at a ticket counter is like a queue — the person who comes first gets served first.
Data Structures - Lecture 2 - Unit 2.pptx
Data Structures - Lecture 2 - Unit 2.pptxDanielNesaKumarC This document discusses different types of data structures including stacks, queues, and circular queues. It provides details on their operations, implementations, and applications. Stacks follow LIFO order and support push and pop operations. Queues follow FIFO order and support insert and delete operations. Circular queues are similar but the front and rear pointers move in a circular fashion. Implementations can use arrays or linked lists. Applications include recursive programming, expression evaluation, scheduling processes, and more.
Introduction to Stack, ▪ Stack ADT, ▪ Implementation of Stack using array, ...
Introduction to Stack, ▪ Stack ADT, ▪ Implementation of Stack using array, ...Dr. Madhuri Jawale Introduction to Stack,
▪ Stack ADT,
▪ Implementation of Stack using array,
▪ Concept of implicit and explicit stack.
Data structure
Data structureRubal Dahat The document discusses data structures, their operations, and classifications including arrays, linked lists, stacks, and queues. It highlights the importance of data structures in optimizing the management of data and provides examples of algorithms for searching and sorting. Additionally, it covers trees and graphs, including terminologies, representations, and traversal methods.
data structure, stack, stack data structure
data structure, stack, stack data structurepcnmtutorials The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Values are inserted into and retrieved from one end, called the top of the stack. The two main operations are push, which inserts a value into the stack, and pop, which retrieves a value. An example C program demonstrates these operations on a stack implemented with an array. The stack starts empty and grows as values are pushed on until it reaches its maximum size, at which point it is full. Values can be continuously popped off until the stack is empty again.
Ad
More from Sanjay Saha (7)
Face Recognition Basic Terminologies
Face Recognition Basic TerminologiesSanjay Saha This document contains information about face identification, including the differences between face recognition and detection, recognition and verification, and the steps involved in face recognition. It also provides several references on topics like facial landmark detection and examples of detectors, including DLIB which can detect 68 facial landmarks.
Is Face Recognition Safe from Realizable Attacks? - IJCB 2020 - Sanjay Saha, ...
Is Face Recognition Safe from Realizable Attacks? - IJCB 2020 - Sanjay Saha, ...Sanjay Saha The document investigates the vulnerability of face recognition systems (FRS) to realizable attacks, highlighting that FRS are widely used yet exposed to various threats. It demonstrates that attackers can successfully impersonate or break into secured areas by exploiting FRS vulnerabilities, with a success rate of approximately 21.8%. The study urges further research to mitigate these security risks in face recognition technologies.
ResNet basics (Deep Residual Network for Image Recognition)
ResNet basics (Deep Residual Network for Image Recognition)Sanjay Saha The document presents the deep residual learning framework proposed in the paper "Deep Residual Learning for Image Recognition". The framework aims to make it easier to optimize extremely deep convolutional neural networks. It does this by introducing "skip connections" that allow layers to learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. This addresses issues like vanishing gradients in very deep networks. The authors demonstrate that residual networks are easier to optimize and can gain accuracy from increased depth, outperforming standard networks.
Convolutional Deep Belief Nets by Lee. H. 2009
Convolutional Deep Belief Nets by Lee. H. 2009Sanjay Saha The document presents a convolutional deep belief network (CDBN) designed for scaling to larger image sizes and supporting probabilistic inference. It discusses the architecture and training methods, including the use of restricted Boltzmann machines and probabilistic max-pooling, to learn hierarchical feature representations useful in object recognition tasks. Experimental results demonstrate its effectiveness in handwriting digit classification and unsupervised learning from natural images.
IEEE_802.11e
IEEE_802.11eSanjay Saha IEEE 802.11e was developed to provide quality of service (QoS) support for wireless networks carrying voice and multimedia by enhancing the legacy IEEE 802.11 standard. It introduced two classes of users with different priorities that access the channel through an enhanced distributed channel access (EDCA) mechanism, replacing the distributed coordination function (DCF). The document presents the protocol assumptions, supporting equations, Markov chain model, and performance analysis of the IEEE 802.11e standard in terms of throughput and acceptance probability for different traffic loads.
Image Degradation & Resoration
Image Degradation & ResorationSanjay Saha This document discusses image degradation and restoration. It describes how images can become degraded through imperfect imaging systems, transmission channels, atmospheric conditions, and motion. It then discusses several methods for restoring degraded images, including inverse filtering, Wiener filtering, and Kalman filtering. Specific techniques are presented for restoring images corrupted with impulse noise or blurring, including using differences from the median and convolution models. The document concludes by describing simulations of image restoration techniques in MATLAB.
Fault Tree Analysis
Fault Tree AnalysisSanjay Saha The document discusses fault tree analysis (FTA) as a systematic process used to deduce the causes of undesirable events in a system through a logical framework. It highlights the significance of FTA in identifying failures, assessing system reliability, and optimizing safety measures. Additionally, it introduces product configuration, which customizes components to meet specific customer needs.
Ad
Recently uploaded (20)
Fatality due to Falls at Working at Height
Fatality due to Falls at Working at Heightssuserb8994f It is related to fatality due to falls at working at height
Microwatt: Open Tiny Core, Big Possibilities
Microwatt: Open Tiny Core, Big PossibilitiesIBM Microwatt is a lightweight, open-source core based on the OpenPOWER ISA.
It’s designed for FPGAs and easy experimentation in chip design.
Ideal for education, prototyping, and custom silicon development.
Fully open, it empowers developers to learn, modify, and innovate.
Machine Learning - Classification Algorithms
Machine Learning - Classification Algorithmsresming1 This covers traditional machine learning algorithms for classification. It includes Support vector machines, decision trees, Naive Bayes classifier , neural networks, etc.
It also discusses about model evaluation and selection. It discusses ID3 and C4.5 algorithms. It also describes k-nearest neighbor classifer.
Rapid Prototyping for XR: Lecture 1 Introduction to Prototyping
Rapid Prototyping for XR: Lecture 1 Introduction to PrototypingMark Billinghurst Lecture 1 of a course on Rapid Prototyping for XR taught by Mark Billinghurst at Oulu University on June 9th, 2025. This lecture presents an Introduction to Prototyping.
دراسة حاله لقرية تقع في جنوب غرب السودان
دراسة حاله لقرية تقع في جنوب غرب السودانمحمد قصص فتوتة دراسة حاله لقرية تقع في جنوب غرب السودان لتوفير إحتياجاتها من الطاقه من مصادر الطاقات المتجدده المتوفره بها
How to Un-Obsolete Your Legacy Keypad Design
How to Un-Obsolete Your Legacy Keypad DesignEpec Engineered Technologies For any number of circumstances, obsolescence risk is ever present in the electronics industry. This is especially true for human-to-machine interface hardware, such as keypads, touchscreens, front panels, bezels, etc. This industry is known for its high mix and low-volume builds, critical design requirements, and high costs to requalify hardware. Because of these reasons, many programs will face end-of-life challenges both at the component level as well as at the supplier level.
Redesigns and qualifications can take months or even years, so proactively managing this risk is the best way to deter this. If an LED is obsolete or a switch vendor has gone out of business, there are options to proceed.
In this webinar, we cover options to redesign and reverse engineer legacy keypad and touchscreen designs.
For more information on our HMI solutions, visit https://www.epectec.com/user-interfaces.
Proposal for folders structure division in projects.pdf
Proposal for folders structure division in projects.pdfMohamed Ahmed Proposal for folders structure division in projects
Introduction to Natural Language Processing - Stages in NLP Pipeline, Challen...
Introduction to Natural Language Processing - Stages in NLP Pipeline, Challen...resming1 Lecture delivered in 2021. This gives an introduction to Natural Language Processing. It describes the use cases of NLP in daily life. It discusses the stages in NLP Pipeline. It highlights the challenges involved covering the different levels of ambiguity that could arise. It also gives a brief note on the present scenario with the latest language models, tools and frameworks/libraries for NLP.
Tally.ERP 9 at a Glance.book - Tally Solutions .pdf
Tally.ERP 9 at a Glance.book - Tally Solutions .pdfShabista Imam Tally.ERP 9 at a Glance.book, a fully completed guidance to learn tally erp 9.0
Call For Papers - 17th International Conference on Wireless & Mobile Networks...
Call For Papers - 17th International Conference on Wireless & Mobile Networks...hosseinihamid192023 17th International Conference on Wireless & Mobile Networks (WiMoNe 2025) will provide
an excellent international forum for sharing knowledge and results in theory, methodology and
applications of Wireless & Mobile computing Environment. Current information age is witnessing
a dramatic use of digital and electronic devices in the workplace and beyond. Wireless, Mobile
Networks & its applications had received a significant and sustained research interest in terms of
designing and deploying large scale and high performance computational applications in real life.
The aim of the conference is to provide a platform to the researchers and practitioners from both
academia as well as industry to meet and share cutting-edge development in the field.
Modern multi-proposer consensus implementations
Modern multi-proposer consensus implementationsFrançois Garillot Multi-proposer consensus protocols let multiple validators propose blocks in parallel, breaking the single-leader throughput bottleneck of classic designs. Yet the modern multi-proposer consensus implementation has grown a lot since HotStuff. THisworkshop will explore the implementation details of recent advances – DAG-based approaches like Narwhal and Sui’s Mysticeti – and reveal how implementation details translate to real-world performance gains. We focus on the nitty-gritty: how network communication patterns and data handling affect throughput and latency. New techniques such as Turbine-like block propagation (inspired by Solana’s erasure-coded broadcast) and lazy push gossip broadcasting dramatically cut communication overhead. These optimizations aren’t just theoretical – they enable modern blockchains to process over 100,000 transactions per second with finality in mere milliseconds redefining what is possible in decentralized systems.
Stack and Queue (brief)
- 2. STACK: WHAT & WHY Collection of elements of same type LAST IN FIRST OUT = LIFO The last elements that is put in it, is the first one to get out of it! Real life examples: Plate stack Book shelf In computer science studies: Recursion, function calls Infix to prefix, postfix evaluation Operating systems
- 3. STACK: VISUAL SIMULATION B A D C B A C B A D C B A E D C B A top top top top top A Input : A, B, C, D, E popped
- 4. STACK: EXAMPLE Factorial 6! = 6 x 5! = 6 x 5 x 4! = … = 6 x 5 x 4 x 3 x 2 x 1 Recursive solution int fac(int numb){ if(numb<=1) return 1; else return numb*fac(numb-1); } fac(1) fac(2) fac(3) fac(4) fac(5) fac(6) 2 x 1 3 x 2 x 1 4 x 3 x 2 x 1 5 x 4 x 3 x 2 x 1 6 x 5 x 4 x 3 x 2 x 1
- 5. QUEUE: WHAT & WHY FIRST IN FIRST OUT = FIFO The first elements that is put in it, will be the first one to get served! Real life examples: Ticket queue Restaurant In computer science studies: Threads CPU job scheduling Sorting
- 6. A B A C B A D C B A D C Brear front rear front rear front rear front rear front QUEUE: VISUAL SIMULATION Input : A, B, C, D, E
- 7. QUEUE: EXAMPLE Circular Queues The rear of the queue can be behind the front Effective time utilization b c d FrontRear b c d FrontRear e f e fg
- 8. SUMMARY
- 9. Stack and queue Sanjay Saha University of Dhaka Thank you!