deque.pptx
•Download as PPTX, PDF•
0 likes•108 views
This document discusses double-ended queues or deques, which are data structures that allow elements to be added or removed from either end. It defines deques as linear data structures that act like both stacks and queues by supporting insertions and deletions from both ends. The document outlines different types of deques based on insertion and removal restrictions and describes common deque operations like insert_front, which pushes an element to the front of the deque by decrementing the front pointer and inserting the element at that index.
Report
Share
Report
Share
Recommended
Stack and queue
1) A stack is a linear data structure that follows LIFO (last in, first out) ordering. Data is inserted using push operations and removed using pop operations.
2) A queue is a linear structure that follows FIFO (first in, first out) ordering. Data is inserted at the rear of the queue and removed from the front.
3) There are two main types of queues - linear and circular queues. Linear queues have separate front and rear pointers while circular queues connect the last position to the first to form a circle.
queue.pptx
This document discusses queues, which are data structures that allow insertion of elements at one end and deletion at the other end on a first-in first-out basis. It describes two common representations of queues using arrays and linked lists. It also covers circular queues which use an array as a circular buffer. The key operations for queues - enqueue to insert and dequeue to remove elements - are presented along with algorithms to implement these operations for different queue representations. Finally, the document briefly introduces deques, which allow insertion and removal from both ends.
unit 5 stack & queue.ppt
The document discusses stacks and queues, which are linear data structures. It defines a stack as a first-in, last-out (FILO) structure where elements can only be inserted or removed from one end. A queue is defined as a first-in, first-out (FIFO) structure where elements can only be inserted at one end and removed from the other. The document then describes common stack and queue operations like push, pop, enqueue, dequeue and provides examples of their applications. It also discusses two common implementations of stacks and queues using arrays and linked lists.
Data Structures by Maneesh 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.
Queue
Queue is a linear data structure where elements are inserted at one end called the rear and deleted from the other end called the front. It follows the FIFO (first in, first out) principle. Queues can be implemented using arrays or linked lists. In an array implementation, elements are inserted at the rear and deleted from the front. In a linked list implementation, nodes are added to the rear and removed from the front using front and rear pointers. There are different types of queues including circular queues, double-ended queues, and priority queues.
Stack and queue
This document discusses different types of data structures, including linear and non-linear structures. It focuses on linear structures like arrays, stacks, and queues. Stacks follow LIFO principles with push and pop operations. Queues follow FIFO principles with enqueue and dequeue operations. Real-world examples and algorithms for common stack and queue operations are provided.
Java presentation on insertion sort
This document provides an overview of insertion sort, including:
- How insertion sort works by dividing an array into sorted and unsorted parts, inserting unsorted elements into the sorted part in each pass.
- The algorithm scans the array from left to right, inserting each element into the correct position in the previously sorted subarray.
- Runtime is O(n^2) in the worst and average cases due to multiple comparisons and shifts that may be required.
- Pseudocode and Java code examples are provided to demonstrate implementation.
- Advantages are simplicity and efficiency for small datasets, while disadvantages include poor performance for large arrays compared to other algorithms.
Ist year Msc,2nd sem module1
The document discusses different data structures like arrays, stacks, queues, linked lists, trees, graphs. It provides definitions of each data structure and describes their common operations like traversing, searching, insertion, deletion. It also includes algorithms for operations on linear arrays, stacks, queues and priority queues. Implementation of different data structures and their applications are explained with examples.
Recommended
Stack and queue
1) A stack is a linear data structure that follows LIFO (last in, first out) ordering. Data is inserted using push operations and removed using pop operations.
2) A queue is a linear structure that follows FIFO (first in, first out) ordering. Data is inserted at the rear of the queue and removed from the front.
3) There are two main types of queues - linear and circular queues. Linear queues have separate front and rear pointers while circular queues connect the last position to the first to form a circle.
queue.pptx
This document discusses queues, which are data structures that allow insertion of elements at one end and deletion at the other end on a first-in first-out basis. It describes two common representations of queues using arrays and linked lists. It also covers circular queues which use an array as a circular buffer. The key operations for queues - enqueue to insert and dequeue to remove elements - are presented along with algorithms to implement these operations for different queue representations. Finally, the document briefly introduces deques, which allow insertion and removal from both ends.
unit 5 stack & queue.ppt
The document discusses stacks and queues, which are linear data structures. It defines a stack as a first-in, last-out (FILO) structure where elements can only be inserted or removed from one end. A queue is defined as a first-in, first-out (FIFO) structure where elements can only be inserted at one end and removed from the other. The document then describes common stack and queue operations like push, pop, enqueue, dequeue and provides examples of their applications. It also discusses two common implementations of stacks and queues using arrays and linked lists.
Data Structures by Maneesh 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.
Queue
Queue is a linear data structure where elements are inserted at one end called the rear and deleted from the other end called the front. It follows the FIFO (first in, first out) principle. Queues can be implemented using arrays or linked lists. In an array implementation, elements are inserted at the rear and deleted from the front. In a linked list implementation, nodes are added to the rear and removed from the front using front and rear pointers. There are different types of queues including circular queues, double-ended queues, and priority queues.
Stack and queue
This document discusses different types of data structures, including linear and non-linear structures. It focuses on linear structures like arrays, stacks, and queues. Stacks follow LIFO principles with push and pop operations. Queues follow FIFO principles with enqueue and dequeue operations. Real-world examples and algorithms for common stack and queue operations are provided.
Java presentation on insertion sort
This document provides an overview of insertion sort, including:
- How insertion sort works by dividing an array into sorted and unsorted parts, inserting unsorted elements into the sorted part in each pass.
- The algorithm scans the array from left to right, inserting each element into the correct position in the previously sorted subarray.
- Runtime is O(n^2) in the worst and average cases due to multiple comparisons and shifts that may be required.
- Pseudocode and Java code examples are provided to demonstrate implementation.
- Advantages are simplicity and efficiency for small datasets, while disadvantages include poor performance for large arrays compared to other algorithms.
Ist year Msc,2nd sem module1
The document discusses different data structures like arrays, stacks, queues, linked lists, trees, graphs. It provides definitions of each data structure and describes their common operations like traversing, searching, insertion, deletion. It also includes algorithms for operations on linear arrays, stacks, queues and priority queues. Implementation of different data structures and their applications are explained with examples.
Queues
Brief description of Queue and its types. Easy and helpful to clear the doubts regarding the Topic.Come and Try .
Queue
A queue is a first-in first-out (FIFO) data structure where elements are inserted at the rear end and deleted from the front end. It maintains two pointers - a front pointer pointing to the front element and a rear pointer pointing to the rear element. New elements are added by incrementing the rear pointer and elements are removed by incrementing the front pointer. Common queue operations include enqueue() to add an element, dequeue() to remove an element, peek() to access the front element without removing it, and functions to check if the queue is full or empty.
Unit i(dsc++)
The document contains the syllabus for the second semester of the first year of a B.Tech. program. It outlines 6 units that will be covered related to data structures and C++ programming. Unit I introduces concepts like abstract data types, stacks, queues and their implementations. Unit II covers linked lists and representing stacks and queues with linked lists. Unit III discusses trees and graphs. Unit IV covers searching and sorting algorithms. Units V and VI cover object-oriented programming concepts in C++ like classes, objects, inheritance and templates. The document also lists lab assignments related to implementing various data structures and algorithms in C programming language.
Data structure
This document discusses data structures and their types. It defines data structures as the logical or mathematical organization of data in computer memory or on disk. The main types are linear data structures like arrays, stacks, queues, and linked lists, and non-linear structures like trees and graphs. Common operations on data structures include traversing, searching, inserting, deleting, sorting, and merging. Algorithms manipulate data in these structures to solve problems.
Datastructureanditstypes 110410094332-phpapp02
This document presents an overview of different data structures, including linear and non-linear data structures. It defines data structure as a logical way of storing and retrieving data. Linear data structures discussed include arrays, stacks, queues, and linked lists. Non-linear data structures discussed are trees and graphs. For each data structure, the document describes representations and common operations like traversing, searching, insertion, and deletion.
Queue - Data Structure - Notes
An ordered collection of items from which items may be deleted from one end called the front and into which items may be inserted from other end called rear is known as Queue.
It is a linear data structure.
It is called the First In First Out (FIFO) list. Since in queue, the first element will be the first element out.
Updated Lab3.docx
This document outlines a lab manual for a Data Structures and Algorithms course. The lab covers basic operations on arrays in C++, including insertion, deletion, traversal, and searching algorithms. It provides pseudocode and C++ code examples for inserting and deleting elements from an array, traversing a linear array, and using linear and binary search algorithms. The objectives are to understand array operations, write algorithms, and implement them in code using the Dev C++ tool.
Slide 1.-datastructure
The document discusses different types of data structures, including their definitions, representations, and common operations. It covers linear data structures like arrays, stacks, queues, and linked lists as well as nonlinear structures like trees and graphs. For each type of data structure, the document explains how it is represented in memory and lists some key operations like searching, insertion, deletion, and traversal.
Bca ii dfs u-2 linklist,stack,queue
The document discusses different data structures including stacks, queues, linked lists, and their implementations. It defines stacks as LIFO structures that allow push and pop operations. Queues are FIFO structures that allow enqueue and dequeue operations. Linked lists store data in nodes that link to the next node, allowing flexible sizes. Stacks and queues can be implemented using arrays or linked lists, with special handling needed at the ends. Priority queues allow deletion based on priority rather than order. Circular linked lists connect the last node to the first to allow continuous traversal.
Data Structures 2
Queues are data structures that follow a First In First Out (FIFO) principle. Elements are inserted at the rear of the queue and deleted from the front. Common queue operations include insert, remove, and check if empty. Circular queues and priority queues are two types of queues that are discussed. Circular queues allow wrapping around when the end is reached while priority queues retrieve the highest priority element first.
queue_final.pptx
This document discusses different types of queues and their applications. It describes queues as linear data structures that follow a first-in, first-out principle. Common queue operations like insertion and deletion are explained. The document also covers array and linked representations of queues, as well as different queue types like circular queues, deques, and priority queues. Real-world and computer science applications of queues are provided.
DS Module 1.pptx
This document provides an introduction to data structures. It discusses primitive and non-primitive data structures and their classifications. Linear data structures like arrays, stacks, queues and linked lists are covered, along with non-linear structures like trees and graphs. Common operations on data structures are also summarized such as traversing, searching, inserting and deleting. Finally, abstract data types and examples of common ADTs like lists, stacks and queues are introduced.
DS Module1 (1).pptx
This document provides an overview of data structures and algorithms. It discusses primitive and non-primitive data structures. Non-primitive structures include arrays, files, lists (linear and non-linear), stacks, queues, graphs and trees. Common operations on data structures are creation, destruction, selection, and updation. Arrays have limitations such as static memory allocation and complex insertions/deletions. Lists allow dynamic memory allocation. The document also discusses merging arrays, two-dimensional arrays stored in row-major and column-major format, sparse matrices, and representing polynomials using arrays.
Queues.ppt
The document discusses different data structures including queues, deques, and priority queues. It defines queues as FIFO lists where elements are inserted at the rear and deleted from the front. Deques allow insertion and deletion from both ends. Priority queues store elements according to priority level, with highest priority elements removed first. Array and linked list implementations of these structures are presented along with common operations like insertion, deletion, and traversal. Applications include job scheduling, simulation events, emergency patients, and background task prioritization.
Data Structure
Data structure is an arrangement of data in computer's memory. It makes the data quickly available to the processor for required operations.It is a software artifact which allows data to be stored, organized and accessed.
DS Module 1.pptx
This document provides an introduction to data structures. It discusses primitive and non-primitive data structures and their classifications. Linear data structures like arrays, stacks, queues and linked lists are covered, along with non-linear structures like trees and graphs. Common operations on data structures like traversing, searching, inserting and deleting are also summarized. Finally, the document introduces abstract data types and provides examples of common ADT specifications for lists, stacks and queues.
Data structures
The document discusses different types of queues and their properties and operations. It begins with defining a queue as a first-in, first-out (FIFO) linear structure. Real-world examples of queues mentioned include lines at ticket windows and bus stops. Basic queue operations of enqueue and dequeue are described. The document then discusses implementation of queues using arrays, with front and rear pointers. Circular queues and priority queues are also covered.
Bsc cs ii dfs u-2 linklist,stack,queue
The document discusses different data structures including stacks, queues, linked lists, and their implementations. It defines stacks as LIFO structures that can add and remove items from one end only. Queues are FIFO structures that add to one end and remove from the other. Linked lists store data in nodes that point to the next node. Stacks, queues and linked lists can all be implemented using arrays or by linking nodes. Priority queues and deques are also discussed.
queue & its applications
The document discusses different types of queues including their representations, operations, and applications. It describes queues as linear data structures that follow a first-in, first-out principle. Common queue operations are insertion at the rear and deletion at the front. Queues can be represented using arrays or linked lists. Circular queues and priority queues are also described as variants that address limitations of standard queues. Real-world and technical applications of queues include CPU scheduling, cashier lines, and data transfer between processes.
Queue
The document discusses different types of queues including linear queues, circular queues, priority queues, and deques. It provides details on the basic operations for each type of queue including insert and delete operations. For linear queues, it describes how elements are added to the rear and removed from the front in FIFO order. Circular queues are described as improving on linear queues by making the queue circular to avoid overflow. Priority queues are defined as having elements with assigned priorities and removing the highest priority element first. Finally, deques are introduced as allowing insertions and deletions from either end.
Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
● What is event processing in MuleSoft?
● Types of event processing models in Mule 4
● Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
More Related Content
Similar to deque.pptx
Queues
Brief description of Queue and its types. Easy and helpful to clear the doubts regarding the Topic.Come and Try .
Queue
A queue is a first-in first-out (FIFO) data structure where elements are inserted at the rear end and deleted from the front end. It maintains two pointers - a front pointer pointing to the front element and a rear pointer pointing to the rear element. New elements are added by incrementing the rear pointer and elements are removed by incrementing the front pointer. Common queue operations include enqueue() to add an element, dequeue() to remove an element, peek() to access the front element without removing it, and functions to check if the queue is full or empty.
Unit i(dsc++)
The document contains the syllabus for the second semester of the first year of a B.Tech. program. It outlines 6 units that will be covered related to data structures and C++ programming. Unit I introduces concepts like abstract data types, stacks, queues and their implementations. Unit II covers linked lists and representing stacks and queues with linked lists. Unit III discusses trees and graphs. Unit IV covers searching and sorting algorithms. Units V and VI cover object-oriented programming concepts in C++ like classes, objects, inheritance and templates. The document also lists lab assignments related to implementing various data structures and algorithms in C programming language.
Data structure
This document discusses data structures and their types. It defines data structures as the logical or mathematical organization of data in computer memory or on disk. The main types are linear data structures like arrays, stacks, queues, and linked lists, and non-linear structures like trees and graphs. Common operations on data structures include traversing, searching, inserting, deleting, sorting, and merging. Algorithms manipulate data in these structures to solve problems.
Datastructureanditstypes 110410094332-phpapp02
This document presents an overview of different data structures, including linear and non-linear data structures. It defines data structure as a logical way of storing and retrieving data. Linear data structures discussed include arrays, stacks, queues, and linked lists. Non-linear data structures discussed are trees and graphs. For each data structure, the document describes representations and common operations like traversing, searching, insertion, and deletion.
Queue - Data Structure - Notes
An ordered collection of items from which items may be deleted from one end called the front and into which items may be inserted from other end called rear is known as Queue.
It is a linear data structure.
It is called the First In First Out (FIFO) list. Since in queue, the first element will be the first element out.
Updated Lab3.docx
This document outlines a lab manual for a Data Structures and Algorithms course. The lab covers basic operations on arrays in C++, including insertion, deletion, traversal, and searching algorithms. It provides pseudocode and C++ code examples for inserting and deleting elements from an array, traversing a linear array, and using linear and binary search algorithms. The objectives are to understand array operations, write algorithms, and implement them in code using the Dev C++ tool.
Slide 1.-datastructure
The document discusses different types of data structures, including their definitions, representations, and common operations. It covers linear data structures like arrays, stacks, queues, and linked lists as well as nonlinear structures like trees and graphs. For each type of data structure, the document explains how it is represented in memory and lists some key operations like searching, insertion, deletion, and traversal.
Bca ii dfs u-2 linklist,stack,queue
The document discusses different data structures including stacks, queues, linked lists, and their implementations. It defines stacks as LIFO structures that allow push and pop operations. Queues are FIFO structures that allow enqueue and dequeue operations. Linked lists store data in nodes that link to the next node, allowing flexible sizes. Stacks and queues can be implemented using arrays or linked lists, with special handling needed at the ends. Priority queues allow deletion based on priority rather than order. Circular linked lists connect the last node to the first to allow continuous traversal.
Data Structures 2
Queues are data structures that follow a First In First Out (FIFO) principle. Elements are inserted at the rear of the queue and deleted from the front. Common queue operations include insert, remove, and check if empty. Circular queues and priority queues are two types of queues that are discussed. Circular queues allow wrapping around when the end is reached while priority queues retrieve the highest priority element first.
queue_final.pptx
This document discusses different types of queues and their applications. It describes queues as linear data structures that follow a first-in, first-out principle. Common queue operations like insertion and deletion are explained. The document also covers array and linked representations of queues, as well as different queue types like circular queues, deques, and priority queues. Real-world and computer science applications of queues are provided.
DS Module 1.pptx
This document provides an introduction to data structures. It discusses primitive and non-primitive data structures and their classifications. Linear data structures like arrays, stacks, queues and linked lists are covered, along with non-linear structures like trees and graphs. Common operations on data structures are also summarized such as traversing, searching, inserting and deleting. Finally, abstract data types and examples of common ADTs like lists, stacks and queues are introduced.
DS Module1 (1).pptx
This document provides an overview of data structures and algorithms. It discusses primitive and non-primitive data structures. Non-primitive structures include arrays, files, lists (linear and non-linear), stacks, queues, graphs and trees. Common operations on data structures are creation, destruction, selection, and updation. Arrays have limitations such as static memory allocation and complex insertions/deletions. Lists allow dynamic memory allocation. The document also discusses merging arrays, two-dimensional arrays stored in row-major and column-major format, sparse matrices, and representing polynomials using arrays.
Queues.ppt
The document discusses different data structures including queues, deques, and priority queues. It defines queues as FIFO lists where elements are inserted at the rear and deleted from the front. Deques allow insertion and deletion from both ends. Priority queues store elements according to priority level, with highest priority elements removed first. Array and linked list implementations of these structures are presented along with common operations like insertion, deletion, and traversal. Applications include job scheduling, simulation events, emergency patients, and background task prioritization.
Data Structure
Data structure is an arrangement of data in computer's memory. It makes the data quickly available to the processor for required operations.It is a software artifact which allows data to be stored, organized and accessed.
DS Module 1.pptx
This document provides an introduction to data structures. It discusses primitive and non-primitive data structures and their classifications. Linear data structures like arrays, stacks, queues and linked lists are covered, along with non-linear structures like trees and graphs. Common operations on data structures like traversing, searching, inserting and deleting are also summarized. Finally, the document introduces abstract data types and provides examples of common ADT specifications for lists, stacks and queues.
Data structures
The document discusses different types of queues and their properties and operations. It begins with defining a queue as a first-in, first-out (FIFO) linear structure. Real-world examples of queues mentioned include lines at ticket windows and bus stops. Basic queue operations of enqueue and dequeue are described. The document then discusses implementation of queues using arrays, with front and rear pointers. Circular queues and priority queues are also covered.
Bsc cs ii dfs u-2 linklist,stack,queue
The document discusses different data structures including stacks, queues, linked lists, and their implementations. It defines stacks as LIFO structures that can add and remove items from one end only. Queues are FIFO structures that add to one end and remove from the other. Linked lists store data in nodes that point to the next node. Stacks, queues and linked lists can all be implemented using arrays or by linking nodes. Priority queues and deques are also discussed.
queue & its applications
The document discusses different types of queues including their representations, operations, and applications. It describes queues as linear data structures that follow a first-in, first-out principle. Common queue operations are insertion at the rear and deletion at the front. Queues can be represented using arrays or linked lists. Circular queues and priority queues are also described as variants that address limitations of standard queues. Real-world and technical applications of queues include CPU scheduling, cashier lines, and data transfer between processes.
Queue
The document discusses different types of queues including linear queues, circular queues, priority queues, and deques. It provides details on the basic operations for each type of queue including insert and delete operations. For linear queues, it describes how elements are added to the rear and removed from the front in FIFO order. Circular queues are described as improving on linear queues by making the queue circular to avoid overflow. Priority queues are defined as having elements with assigned priorities and removing the highest priority element first. Finally, deques are introduced as allowing insertions and deletions from either end.
Similar to deque.pptx (20)
Recently uploaded
Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
● What is event processing in MuleSoft?
● Types of event processing models in Mule 4
● Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as discipline
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Wound healing PPT
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to deliver Powerpoint Presentations.pptx
"How to make and deliver dynamic presentations by making it more interactive to captivate your audience attention"
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"
Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"National Information Standards Organization (NISO)
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
Benner "Expanding Pathways to Publishing Careers"
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Recently uploaded (20)
Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
Juneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School District
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"
Jemison, MacLaughlin, and Majumder "Broadening Pathways for Editors and Authors"
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
deque.pptx
- 1. DEQUE PRESENTED BY SOUMEEN ROUT 210301151013 B.TECH (EEE) 3RD SEM
- 2. WHAT IS DATA STRUCTURE? A Data structure is a specialized format for organizing, processing, retrieving and storing data. Types of Data Structure Linear data structure, non linear data structure Linear is divided into 4 types 1. Array 2. Stack 3. Queue 4. Linked List Non linear is divided into 2 types 1. Graphs 2. Trees
- 3. DOUBLE-ENDED QUEUE A Deque or deck is a double-ended queue. Allow element to be added or removed on either the ends.
- 4. TYPES OF DEQUE Input restricted deque Element can be inserted only at one end Element can be removed from both the ends Output restricted deque Elements can be removed only at one end. Elements can be inserted from both the ends.
- 5. OPERATIONIN DEQUE Insert element at back. Insert element at front. Remove element at front. Remove element at back.
- 6. INSERT_FRONT insert_front() is a operation used to push an element into the front of the deque
- 7. Algorithm Insert_front Step 1. Start Step 2. Check the queue is full or not as if (r == max-1) &&(f==0) Step 3. if false update the pointer f as f = f-1 Step 4. Insert the element at pointer f as Q[f] = element Step 5. Stop
- 8. THANK YOU