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A queue is a first-in, first-out (FIFO) linear data structure where elements are inserted at the rear of the queue and deleted from the front, with Agner Krarup Erlang applying queueing theory principles to telecommunications; common queue types include deque, circular queue, and priority queue, with priority queues processing elements based on assigned priority levels rather than insertion order. Real-world applications of queues include lines at stores, people on escalators, traffic light patterns, and resource sharing in computer systems like CPU and disk scheduling.

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Data Structures 01

Data Structures are the programmatic way of storing data so that data can be used efficiently
Introduction to DSA
Advantages & Disadvantages
Abstract Data Type (ADT)
Linear Array List
Downloadable Resources

Queue

Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources

Sorting

A sorting algorithm is an algorithm that puts elements of a list in a certain order. The most-used orders are numerical order and lexicographical order
What is sorting algorithm
The bubble sort
The selection sort
The insertion sort
The Quick sort
The Shell Sort

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.

2 introduction to data structure

This document discusses data structures in Java. It begins with an introduction to data structures and their classification as linear, non-linear, static, or dynamic memory allocation. Linear structures include linked lists, stacks, and queues, while non-linear structures are trees and graphs. The document then covers generic programming in Java, collection classes like ArrayLists and LinkedLists, and applications of common data structures. Big-O notation for analyzing algorithms is also introduced. The document contains examples and source code to demonstrate working with collections in Java.

Presentation on queue

this is the presentation on queue describing briefly its introduction and its type and its function

Queues

Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.

Stack Data structure

This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.

Data Structures 01

Data Structures are the programmatic way of storing data so that data can be used efficiently
Introduction to DSA
Advantages & Disadvantages
Abstract Data Type (ADT)
Linear Array List
Downloadable Resources

Queue

Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
Conceptual View of a Queue
Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources

Sorting

A sorting algorithm is an algorithm that puts elements of a list in a certain order. The most-used orders are numerical order and lexicographical order
What is sorting algorithm
The bubble sort
The selection sort
The insertion sort
The Quick sort
The Shell Sort

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.

2 introduction to data structure

This document discusses data structures in Java. It begins with an introduction to data structures and their classification as linear, non-linear, static, or dynamic memory allocation. Linear structures include linked lists, stacks, and queues, while non-linear structures are trees and graphs. The document then covers generic programming in Java, collection classes like ArrayLists and LinkedLists, and applications of common data structures. Big-O notation for analyzing algorithms is also introduced. The document contains examples and source code to demonstrate working with collections in Java.

Presentation on queue

this is the presentation on queue describing briefly its introduction and its type and its function

Queues

Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.

Stack Data structure

This document provides an overview of stacks as a data structure. It defines stacks as linear structures that store data in a last-in, first-out manner. Key points covered include common stack operations like push and pop, complexity analysis, examples of where stacks are used, and C++ code for implementing a stack class with methods like push, pop, peek, and isEmpty.

basics of queues

The document describes how queues work and two methods for implementing queues - using an array or linked list. It explains that queues follow a first-in first-out (FIFO) ordering, with new elements added to the rear and elements removed from the front. The key queue operations of enqueue (add to rear) and dequeue (remove from front) are also defined. Implementation using an array requires tracking the number of elements, front index, and rear index, while a linked list uses head and tail pointers.

Chapter 10: hashing data structure

This document provides an outline and overview of hashing and hash tables. It defines hashing as a technique for storing data to allow for fast insertion, retrieval, and deletion. A hash table uses an array and hash function to map keys to array indices. Collision resolution techniques like linear probing are discussed. The document also summarizes the Hashtable class in .NET, which uses buckets and load factor to avoid collisions. Examples of hash functions and using the Hashtable class are provided.

Ppt presentation of queues

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.

An Introduction to the C++ Standard Library

This slide brushes up on the concepts of class and templates in C++. It introduces the different sections of the C++ Standard Library and talks about std::pair in further details.

Java Arrays and DateTime Functions

This slide, "Java Arrays and DateTime Functions," provides an overview of Java arrays and their manipulation, alongside an introduction to Java's DateTime functions. It focuses on practical applications and essential techniques related to handling arrays and managing date-time data in Java.

5 Array List, data structure course

This document provides an introduction to and overview of the ArrayList class in Java. It discusses how ArrayLists allow for dynamic sizes unlike arrays and can store an unlimited number of objects. It also contains an example of creating and using an ArrayList to store String objects and compares the key differences between arrays and ArrayLists. The document was prepared by Mahmoud Rafeek Al-farra and includes links to additional resources on ArrayLists.

القوائم المترابطة Linked List باستخدام لغة جافا

This document discusses linked lists in Java. It defines a linked list as a collection of nodes where each node contains a data field and a reference to the next node. The document explains how to implement a linked list using a self-referential Node class with next and data fields. It also discusses common linked list operations like adding and removing nodes at different positions. Finally, it compares linked lists to array lists and outlines some variations of linked lists.

Stacks in data structure

A stack is an abstract data type that follows LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common operations on a stack include push to add an element and pop to remove the top element. Stacks have many applications like reversing a word or parsing expressions. They can be implemented using arrays or linked lists. The time complexity of push, pop, and top operations is O(1) while search is O(n).

Structure

This document discusses C++ structs (records) which allow grouping of related data of different types. It covers declaring struct variables, accessing struct members, passing structs by value and reference, arrays of structs, hierarchical structs containing other structs, and unions which can hold only one member at a time. Testing and debugging tips are provided such as ensuring the full member selector is used and that indexes are placed correctly when using arrays within structs.

Ds

This document discusses queues as an abstract data type (ADT) in data structures. It defines queues as first-in, first-out (FIFO) lists where elements are inserted at one end and removed from the other. The primary operations for queues are enqueue, which adds an element to the end, and dequeue, which removes an element from the front. Circular queues are also described, which connect the last queue position back to the first to form a circle. Common applications of queues include printer jobs, customer calls, and file server access control.

Ds stack & queue

This document discusses stacks and queues as data structures. It defines a stack as a LIFO data structure where items can only be inserted and removed from one end. Examples of stack applications include program execution, parsing, and evaluating postfix expressions. The key stack operations are push, peek, and pop. It also defines a queue as a FIFO data structure where items are inserted at one end and removed from the other. Example queue applications include scheduling and networking. The key queue operations are enqueue and dequeue. It discusses implementing both stacks and queues using arrays and linked lists.

General Data structures

This document discusses various common data structures, including their definitions, examples, and basic operations. It begins by defining an abstract data type and explaining that a data structure provides one way to implement an ADT by organizing data. Then it provides examples of common data structures like queues, stacks, binary search trees, lists, arrays, linked lists, graphs, and hashing. For each it briefly explains what it is, potential applications, and some basic operations that can be performed on it.

Ml study notes id3

The document provides study notes on decision tree algorithms, specifically ID3. It explains that ID3 is suitable for categorical data and provides an example play ball dataset. It then describes the ID3 algorithm which calculates entropy and gain to choose the attribute with highest gain to split the data recursively until a decision can be made. Finally, it mentions the implementation of these concepts in C# including classes to calculate entropy and gain, a decision tree class, and outputting the rules.

Applications of queue

The document discusses different types of queues used in operating systems and networking. It describes several queueing strategies for process scheduling in operating systems including first-come first-served, shortest remaining time, priority-based, round-robin, and multilevel queue scheduling. It also discusses different types of network queues like FIFO, weighted fair, priority, and custom queues. The term "network of queues" refers to a situation where the output of one queue feeds into the input of another queue. Circuit switching and packet switching networking are compared, where circuit switching reserves bandwidth for the duration of a call and packet switching dynamically routes individual packets.

المحاضرة الثامنة: تراكيب البيانات الطابور

This document discusses data structures and queues in Java. It provides an introduction to queues, describing them as first-in, first-out data structures where elements are appended to the end and removed from the beginning. It also discusses priority queues, where elements have priorities and the highest priority element is removed first. The document then discusses implementing queues and priority queues in Java and provides code examples for queue operations like enqueue and dequeue. It concludes with briefly mentioning some queue variations like circular queues and double-ended queues.

Java - Collections

This document provides information on Java collection frameworks like List, Set, and Map. It discusses the common implementations of each and their performance characteristics for different operations. Key points covered include the differences between ArrayList and LinkedList, when to use HashSet vs LinkedHashSet, and how HashMap performance is related to load factor. The document also mentions utility methods in Collections class and best practices like avoiding null returns.

3 searching algorithms in Java

The document discusses and compares linear and binary search algorithms. It describes how linear search sequentially compares an element to all items in a list, while binary search relies on a sorted list and divides the search space in half at each step. Example code is provided for implementing linear and binary search in Java. The document concludes that binary search is more efficient for large sorted data, while linear search can be used for small unsorted data or as a simpler approach.

Presentation on ILU

The document discusses an integer and logic unit used in microprocessors. It describes how the unit performs integer and logic operations like addition, multiplication, OR, and AND. It specifically mentions using a carry save adder for addition with 3 inputs and a Booth multiplier for high-speed multiplication. The document also provides details on an arithmetic logic unit (ALU), bus concept, input/output representation, interaction with other units, carry save adders, Booth multipliers, logic gates, and timing diagrams.

7 stack and vector

This document discusses stacks and vectors in Java. It explains that Vector is a subclass of AbstractList that contains synchronized methods, while Stack is a subclass of Vector that implements a LIFO data structure. It also presents an example of implementing a stack using a linked list, and describes how stacks can be used to evaluate expressions by using two stacks for operands and operators.

Apriori algorithm

This document discusses frequent pattern mining algorithms. It describes the Apriori, AprioriTid, and FP-Growth algorithms. The Apriori algorithm uses candidate generation and database scanning to find frequent itemsets. AprioriTid tracks transaction IDs to reduce scans. FP-Growth avoids candidate generation and multiple scans by building a frequent-pattern tree. It finds frequent patterns by mining the tree.

Chapter 7 ds

This document discusses queues and their applications. It begins by defining queues as first-in, first-out (FIFO) data structures and describes how they can be implemented using arrays or linked lists. Common applications of queues include I/O buffering, job scheduling, and round-robin threading. The document also covers double-ended queues (deques), priority queues, and their implementations and applications.

Queue Data Structure

Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.

basics of queues

The document describes how queues work and two methods for implementing queues - using an array or linked list. It explains that queues follow a first-in first-out (FIFO) ordering, with new elements added to the rear and elements removed from the front. The key queue operations of enqueue (add to rear) and dequeue (remove from front) are also defined. Implementation using an array requires tracking the number of elements, front index, and rear index, while a linked list uses head and tail pointers.

Chapter 10: hashing data structure

This document provides an outline and overview of hashing and hash tables. It defines hashing as a technique for storing data to allow for fast insertion, retrieval, and deletion. A hash table uses an array and hash function to map keys to array indices. Collision resolution techniques like linear probing are discussed. The document also summarizes the Hashtable class in .NET, which uses buckets and load factor to avoid collisions. Examples of hash functions and using the Hashtable class are provided.

Ppt presentation of queues

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.

An Introduction to the C++ Standard Library

This slide brushes up on the concepts of class and templates in C++. It introduces the different sections of the C++ Standard Library and talks about std::pair in further details.

Java Arrays and DateTime Functions

This slide, "Java Arrays and DateTime Functions," provides an overview of Java arrays and their manipulation, alongside an introduction to Java's DateTime functions. It focuses on practical applications and essential techniques related to handling arrays and managing date-time data in Java.

5 Array List, data structure course

This document provides an introduction to and overview of the ArrayList class in Java. It discusses how ArrayLists allow for dynamic sizes unlike arrays and can store an unlimited number of objects. It also contains an example of creating and using an ArrayList to store String objects and compares the key differences between arrays and ArrayLists. The document was prepared by Mahmoud Rafeek Al-farra and includes links to additional resources on ArrayLists.

القوائم المترابطة Linked List باستخدام لغة جافا

This document discusses linked lists in Java. It defines a linked list as a collection of nodes where each node contains a data field and a reference to the next node. The document explains how to implement a linked list using a self-referential Node class with next and data fields. It also discusses common linked list operations like adding and removing nodes at different positions. Finally, it compares linked lists to array lists and outlines some variations of linked lists.

Stacks in data structure

A stack is an abstract data type that follows LIFO (last in, first out) principle. Elements can only be inserted or removed from one end, called the top. Common operations on a stack include push to add an element and pop to remove the top element. Stacks have many applications like reversing a word or parsing expressions. They can be implemented using arrays or linked lists. The time complexity of push, pop, and top operations is O(1) while search is O(n).

Structure

This document discusses C++ structs (records) which allow grouping of related data of different types. It covers declaring struct variables, accessing struct members, passing structs by value and reference, arrays of structs, hierarchical structs containing other structs, and unions which can hold only one member at a time. Testing and debugging tips are provided such as ensuring the full member selector is used and that indexes are placed correctly when using arrays within structs.

Ds

This document discusses queues as an abstract data type (ADT) in data structures. It defines queues as first-in, first-out (FIFO) lists where elements are inserted at one end and removed from the other. The primary operations for queues are enqueue, which adds an element to the end, and dequeue, which removes an element from the front. Circular queues are also described, which connect the last queue position back to the first to form a circle. Common applications of queues include printer jobs, customer calls, and file server access control.

Ds stack & queue

This document discusses stacks and queues as data structures. It defines a stack as a LIFO data structure where items can only be inserted and removed from one end. Examples of stack applications include program execution, parsing, and evaluating postfix expressions. The key stack operations are push, peek, and pop. It also defines a queue as a FIFO data structure where items are inserted at one end and removed from the other. Example queue applications include scheduling and networking. The key queue operations are enqueue and dequeue. It discusses implementing both stacks and queues using arrays and linked lists.

General Data structures

This document discusses various common data structures, including their definitions, examples, and basic operations. It begins by defining an abstract data type and explaining that a data structure provides one way to implement an ADT by organizing data. Then it provides examples of common data structures like queues, stacks, binary search trees, lists, arrays, linked lists, graphs, and hashing. For each it briefly explains what it is, potential applications, and some basic operations that can be performed on it.

Ml study notes id3

The document provides study notes on decision tree algorithms, specifically ID3. It explains that ID3 is suitable for categorical data and provides an example play ball dataset. It then describes the ID3 algorithm which calculates entropy and gain to choose the attribute with highest gain to split the data recursively until a decision can be made. Finally, it mentions the implementation of these concepts in C# including classes to calculate entropy and gain, a decision tree class, and outputting the rules.

Applications of queue

The document discusses different types of queues used in operating systems and networking. It describes several queueing strategies for process scheduling in operating systems including first-come first-served, shortest remaining time, priority-based, round-robin, and multilevel queue scheduling. It also discusses different types of network queues like FIFO, weighted fair, priority, and custom queues. The term "network of queues" refers to a situation where the output of one queue feeds into the input of another queue. Circuit switching and packet switching networking are compared, where circuit switching reserves bandwidth for the duration of a call and packet switching dynamically routes individual packets.

المحاضرة الثامنة: تراكيب البيانات الطابور

This document discusses data structures and queues in Java. It provides an introduction to queues, describing them as first-in, first-out data structures where elements are appended to the end and removed from the beginning. It also discusses priority queues, where elements have priorities and the highest priority element is removed first. The document then discusses implementing queues and priority queues in Java and provides code examples for queue operations like enqueue and dequeue. It concludes with briefly mentioning some queue variations like circular queues and double-ended queues.

Java - Collections

This document provides information on Java collection frameworks like List, Set, and Map. It discusses the common implementations of each and their performance characteristics for different operations. Key points covered include the differences between ArrayList and LinkedList, when to use HashSet vs LinkedHashSet, and how HashMap performance is related to load factor. The document also mentions utility methods in Collections class and best practices like avoiding null returns.

3 searching algorithms in Java

The document discusses and compares linear and binary search algorithms. It describes how linear search sequentially compares an element to all items in a list, while binary search relies on a sorted list and divides the search space in half at each step. Example code is provided for implementing linear and binary search in Java. The document concludes that binary search is more efficient for large sorted data, while linear search can be used for small unsorted data or as a simpler approach.

Presentation on ILU

The document discusses an integer and logic unit used in microprocessors. It describes how the unit performs integer and logic operations like addition, multiplication, OR, and AND. It specifically mentions using a carry save adder for addition with 3 inputs and a Booth multiplier for high-speed multiplication. The document also provides details on an arithmetic logic unit (ALU), bus concept, input/output representation, interaction with other units, carry save adders, Booth multipliers, logic gates, and timing diagrams.

7 stack and vector

This document discusses stacks and vectors in Java. It explains that Vector is a subclass of AbstractList that contains synchronized methods, while Stack is a subclass of Vector that implements a LIFO data structure. It also presents an example of implementing a stack using a linked list, and describes how stacks can be used to evaluate expressions by using two stacks for operands and operators.

Apriori algorithm

This document discusses frequent pattern mining algorithms. It describes the Apriori, AprioriTid, and FP-Growth algorithms. The Apriori algorithm uses candidate generation and database scanning to find frequent itemsets. AprioriTid tracks transaction IDs to reduce scans. FP-Growth avoids candidate generation and multiple scans by building a frequent-pattern tree. It finds frequent patterns by mining the tree.

basics of queues

basics of queues

Chapter 10: hashing data structure

Chapter 10: hashing data structure

Ppt presentation of queues

Ppt presentation of queues

An Introduction to the C++ Standard Library

An Introduction to the C++ Standard Library

Java Arrays and DateTime Functions

Java Arrays and DateTime Functions

5 Array List, data structure course

5 Array List, data structure course

القوائم المترابطة Linked List باستخدام لغة جافا

القوائم المترابطة Linked List باستخدام لغة جافا

Stacks in data structure

Stacks in data structure

Structure

Structure

Ds

Ds

Ds stack & queue

Ds stack & queue

General Data structures

General Data structures

Ml study notes id3

Ml study notes id3

Applications of queue

Applications of queue

المحاضرة الثامنة: تراكيب البيانات الطابور

المحاضرة الثامنة: تراكيب البيانات الطابور

Java - Collections

Java - Collections

3 searching algorithms in Java

3 searching algorithms in Java

Presentation on ILU

Presentation on ILU

7 stack and vector

7 stack and vector

Apriori algorithm

Apriori algorithm

Chapter 7 ds

This document discusses queues and their applications. It begins by defining queues as first-in, first-out (FIFO) data structures and describes how they can be implemented using arrays or linked lists. Common applications of queues include I/O buffering, job scheduling, and round-robin threading. The document also covers double-ended queues (deques), priority queues, and their implementations and applications.

Queue Data StructureQueue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends. One end is always used to insert data (enqueue) and the other is used to remove data (dequeue). Queue follows First-In-First-Out methodology, i.e., the data item stored first will be accessed first.

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.

Application of Queue.pptx

This document discusses different types of data structures and queues. It provides examples of queues and their applications. The key points are:
1. Queues are linear data structures that follow a first-in, first-out (FIFO) approach. New elements are added to the rear and existing elements are deleted from the front.
2. Common queue types include simple queues, circular queues, deques, and priority queues. Circular queues use a circular buffer that addresses empty spaces. Deques allow insertion and removal from both ends.
3. Queues have various applications including CPU scheduling, traffic light systems, baggage claim systems, undo-redo functions, and bandwidth management of network traffic. Priority queues

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.

Lesson 4 - Queue ADT.pdf

The document discusses the queue abstract data type (ADT). A queue is a first-in, first-out (FIFO) data structure where elements are added to the rear of the queue and removed from the front. Common uses of queues include printer queues, keyboard buffers, and simulation studies. The document examines two implementations of queues - using arrays, which is suitable when the maximum size is known, and linked lists, which does not have a size limit. Pseudocode is provided for common queue operations like enqueue, dequeue, checking for empty/full, and front/make empty.

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.

2.1 STACK & QUEUE ADTS

This document discusses data structures stacks and queues. It provides definitions and examples of stacks and queues. Stacks follow LIFO (last in first out) and are useful for undo sequences and function calls. Queues follow FIFO (first in first out) and are useful for things like printer queues. The document discusses implementations of stacks and queues using arrays and linked lists. It provides pseudocode for common stack and queue operations like push, pop, enqueue, dequeue.

Difference between stack and queue

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.

stack.pptx

The sequence of values popped out is:
20, 10, 20

Data Structures - Lecture 6 [queues]

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.

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 Structures

1. The document introduces data structures and discusses primitive data structures like integers, booleans, and characters. It also discusses linear data structures like arrays, stacks, queues, and linked lists, as well as non-linear structures like trees and graphs.
2. Stacks are described as ordered collections that follow the LIFO principle. Basic stack operations like push, pop, full, and empty are explained along with algorithms to implement push and pop.
3. Applications of stacks include converting infix expressions to postfix and prefix notation, solving mazes using a scratch pad stack, and text editing operations like delete that utilize stacks.

stacks and queues for public

This document discusses stacks and queues as data structures. It begins by defining a stack as a linear collection where elements are added and removed from the top in a last-in, first-out (LIFO) manner. Common stack operations like push, pop, and peek are described. It then discusses applications of stacks like undo sequences and method calls. The document also defines queues as collections where elements are added to the rear and removed from the front in a first-in, first-out (FIFO) manner. Common queue operations and applications like waiting lists and printer access are also covered. Finally, it discusses implementations of stacks and queues using arrays and how to handle overflow and underflow cases.

QUEUE in data-structure (classification, working procedure, Applications)

About Queue Data structure

queue.pptx

Queues are an essential concept in computer science and play a crucial role in solving a wide range of problems efficiently.

Queue AS an ADT (Abstract Data Type)

A queue is a first-in, first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. There are two common implementations - a linear array implementation where the front and rear indices are incremented as elements are added/removed, and a circular array implementation where the indices wrap around to avoid unused space. Queues have applications in printing, scheduling, and call centers where requests are handled in the order received.

2 b queues

The document discusses queues and priority queues. It defines a queue as a waiting line that grows by adding elements to its end and shrinks by taking elements from its front. Common queue operations include enqueue, dequeue, front, clear, isEmpty. Queues follow FIFO order. Priority queues allow elements to be dequeued out of order based on priority. Array and linked list implementations of regular and priority queues are presented. Applications discussed include round robin scheduling, waiting lists, and shared resource access.

Stacks

A stack is a container of objects that are inserted and removed according to the last-in first-out (LIFO) principle. In the pushdown stacks only two operations are allowed: push the item into the stack, and pop the item out of the stack.

Queue ADT for data structure for computer

This document discusses queues and their implementation as an abstract data type. It defines a queue as a first-in, first-out data structure where elements are added to the back and removed from the front. Queues can be implemented using arrays or linked lists, with operations like enqueue to add an element and dequeue to remove an element. The key aspects of a queue are modeled in a Queue class, including tracking the front and rear of the queue.

Chapter 7 ds

Chapter 7 ds

Queue Data Structure

Queue Data Structure

Data Structures by Maneesh Boddu

Data Structures by Maneesh Boddu

Application of Queue.pptx

Application of Queue.pptx

Data Structures 2

Data Structures 2

Lesson 4 - Queue ADT.pdf

Lesson 4 - Queue ADT.pdf

Ist year Msc,2nd sem module1

Ist year Msc,2nd sem module1

2.1 STACK & QUEUE ADTS

2.1 STACK & QUEUE ADTS

Difference between stack and queue

Difference between stack and queue

stack.pptx

stack.pptx

Data Structures - Lecture 6 [queues]

Data Structures - Lecture 6 [queues]

Unit i(dsc++)

Unit i(dsc++)

Data Structures

Data Structures

stacks and queues for public

stacks and queues for public

QUEUE in data-structure (classification, working procedure, Applications)

QUEUE in data-structure (classification, working procedure, Applications)

queue.pptx

queue.pptx

Queue AS an ADT (Abstract Data Type)

Queue AS an ADT (Abstract Data Type)

2 b queues

2 b queues

Stacks

Stacks

Queue ADT for data structure for computer

Queue ADT for data structure for computer

Temperature measurement using nodemcu esp8266

In this project, we will create a standalone web server using a NodeMCU ESP8266 that displays the Temperature and Humidity with a DHT11 sensor using the Arduino IDE.
Actually, the webserver we will build can be easily accessed with any device that features a browser on your local network. NodeMCU ESP8266 Monitoring DHT11/DHT22 Temperature and Humidity with Local Web Server.

Buck converter in MATLAB using PID controller

Examine a DC-DC Boost Converter.
Also, produce the output voltage and
current waveforms of DC-DC Boost Converter
in the MATLAB platform with the following data:
Vi = 100 V,
Vo=142 V,
R = 10 ohms,
fs (Switching Frequency)=1500 Hz

Control system done by dheerendra

This document discusses modeling physical systems using transfer functions. It provides examples of finding the transfer function of electrical systems using Kirchhoff's voltage law and taking the Laplace transform. It also compares electrical systems to mechanical systems, showing how elements like inductance, resistance, and capacitance correspond to mass, damping, and springs. Finally, it discusses modeling gear systems as mechanical impedances that can be reflected through the gear train by multiplying the impedance by the gear ratio.

Addiction

Addiction is a habit that has gone out of control. Short term pleasures that require little effort, like social media, food, and TV, are more likely to become habits than activities requiring sustained effort, like learning an instrument. When engaging in these short term pleasures, one receives pleasure but it quickly ends, prompting repetition without moderation and leading to addiction. Internet addiction can negatively impact relationships, work, finances, and school by causing isolation, distrust, alternate online personas, and avoidance of responsibilities. Work addiction stems from a need for status, success, or stress avoidance, and like other addictions, it involves an inability to stop the compulsive behavior despite negative consequences.

Diodes // LED // OLED

Organic Light Emitting Diodes (OLEDs) are thin, lightweight displays that emit light when electricity is passed through organic layers between two conductors. OLEDs consist of organic semiconductor molecules deposited on a substrate between electrodes. When current flows, electron-hole pairs are formed which generate excitons that emit light as they return to the ground state. The color of light depends on the molecular structure of the organic materials used. OLEDs are used in applications like displays and lighting due to their thinness, light weight, and energy efficiency.

momentum conservation

This document explores the concept of conservation of linear momentum through a coin collision experiment. It will qualitatively examine momentum before and after collisions between pairs of coins with similar masses. The conclusion is that momentum is conserved in a closed system, meaning the total momentum of the system remains the same before and after collisions when no external forces act upon it. Conservation of momentum is a fundamental law of physics embodied in Newton's first law of motion.

energy conservation

Our model illustrates the conservation of mechanical energy using a metallic ball and cardboard. It shows that the total mechanical energy, the sum of potential and kinetic energy, remains the same as the ball rolls down an incline. At the top of the incline, the ball's potential energy is mgh1 and kinetic energy is 1/2mv^2. At the bottom, its potential energy is mgh2 and kinetic energy remains 1/2mv^2, demonstrating that energy is conserved through the conversion between potential and kinetic forms.

Maths ppt partial diffrentian eqn

This document discusses applications of Taylor series and partial differential equations. Taylor series can be used to represent complicated functions as infinite polynomials, making their properties easier to study. They also allow differential equations to be solved more easily. Some applications discussed include using Taylor series to evaluate definite integrals of functions without anti-derivatives, study the asymptotic behavior of electric fields, and solve partial differential equations like the heat equation. Taylor series provide a way to approximate functions with polynomials.

Photodiode / diode

LEDs emit light when activated by electricity due to a phenomenon called electroluminescence. The color of light emitted depends on the semiconductor material used - gallium arsenide produces infrared, gallium arsenide phosphide produces red or yellow, and gallium phosphide produces red or green. Tunnel diodes use the quantum mechanical effect of tunneling to produce electricity with a small voltage, and are used for fast switching, oscillation, and amplification. Photodiodes convert light into an electrical current when photons are absorbed, with the current flowing in the reverse direction of a regular diode. They are used to detect light properties and in optical devices.

Temperature measurement using nodemcu esp8266

Temperature measurement using nodemcu esp8266

Buck converter in MATLAB using PID controller

Buck converter in MATLAB using PID controller

Control system done by dheerendra

Control system done by dheerendra

Addiction

Addiction

Diodes // LED // OLED

Diodes // LED // OLED

momentum conservation

momentum conservation

energy conservation

energy conservation

Maths ppt partial diffrentian eqn

Maths ppt partial diffrentian eqn

Photodiode / diode

Photodiode / diode

Engineering Drawings Lecture Detail Drawings 2014.pdf

Paul Briozzo engineering drawings lecture

22CYT12-Unit-V-E Waste and its Management.ppt

Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.

原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样

原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
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◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

Curve Fitting in Numerical Methods Regression

Curve Fitting

Introduction to AI Safety (public presentation).pptx

Introduction to AI Safety

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network

Generative AI leverages algorithms to create various forms of content

What is Generative AI?

Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt

Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.

Mechanical Engineering on AAI Summer Training Report-003.pdf

Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra

132/33KV substation case study Presentation

132/33Kv substation case study ppt

Comparative analysis between traditional aquaponics and reconstructed aquapon...

The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.

学校原版美国波士顿大学毕业证学历学位证书原版一模一样

原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building

Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024

Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.

哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样

原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

International Conference on NLP, Artificial Intelligence, Machine Learning an...

International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.

Engineering Drawings Lecture Detail Drawings 2014.pdf

Engineering Drawings Lecture Detail Drawings 2014.pdf

22CYT12-Unit-V-E Waste and its Management.ppt

22CYT12-Unit-V-E Waste and its Management.ppt

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样

原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样

Curve Fitting in Numerical Methods Regression

Curve Fitting in Numerical Methods Regression

Introduction to AI Safety (public presentation).pptx

Introduction to AI Safety (public presentation).pptx

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

Generative AI leverages algorithms to create various forms of content

Generative AI leverages algorithms to create various forms of content

Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt

Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt

Manufacturing Process of molasses based distillery ppt.pptx

Manufacturing Process of molasses based distillery ppt.pptx

Mechanical Engineering on AAI Summer Training Report-003.pdf

Mechanical Engineering on AAI Summer Training Report-003.pdf

Seminar on Distillation study-mafia.pptx

Seminar on Distillation study-mafia.pptx

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

132/33KV substation case study Presentation

132/33KV substation case study Presentation

Comparative analysis between traditional aquaponics and reconstructed aquapon...

Comparative analysis between traditional aquaponics and reconstructed aquapon...

学校原版美国波士顿大学毕业证学历学位证书原版一模一样

学校原版美国波士顿大学毕业证学历学位证书原版一模一样

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf

2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf

Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024

Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024

哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样

哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样

International Conference on NLP, Artificial Intelligence, Machine Learning an...

International Conference on NLP, Artificial Intelligence, Machine Learning an...

- 1. Queue is an abstract data structure that follows the FIFO (First In First Out) principle where an element that is added first will be deleted first. Also, there are linear data structures as the elements are linearly arranged. QUEUE
- 2. Agner Krarup Erlang (1878-1929) the Danish telecommunication engineer started applying principles of queuing theory in the area of telecommunications.
- 3. QUEUE--
- 4. Operations on Queue--- 1.Insertion : Placing an item in a queue is called “insertion or “enqueue”, which is done at the end of the queue called “rear”. 2.Deletion : Removing an item from a queue is called “deletion or “dequeue” , which is done at the other end of the queue called “front”
- 6. Types of Queues-- 1. Deque 2. Circular Queue 3. Priority Queue
- 7. DEQUES-- 1.Deque stands for double ended queue. 2.Elements can be inserted or deleted at either end. 3. Also known as head-tail linked list.
- 8. TYPE OF DEQUEUE-- Input restricted dequeue Element can be inserted only at one end. Element can be removed by both end. Output restricted dequeuer Element can be inserted at both end. Element can be removed by one end.
- 9. CIRCULAR QUEUES--- • Circular queue are used to remove the drawback of simple queue. • Both the front and the rear pointers wrap around to the beginning of the array. •It is also called as “Ring buffer”
- 10. PRIORITY QUEUE--- 1.It is collection of elements where elements are stored according to the their priority levels. 2.Inserting and removing of elements from queue is decided by the priority of the elements. 3. An element of the higher priority is processed first. 4.Two element of same priority are processed on first-come-first-served basis.
- 11. Example: Suppose you have a few assignment from different subjects.Which assignment will you want to do first? Subject Due date Priority DLD 6 OCT 2020 1 OR 12 OCT 2020 3 DSN 10 OCT 2020 2 DSA 13 OCT 2020 4
- 12. APPLICATIONS-- **Real world applications** Cashier line in any store. Waiting on hold for tech support. people on an escalator. Checkout at any book store Traffic light functioning is the best example for circular queues. The colors in the traffic light follow a circular pattern. In page replacement algorithms, a circular list of pages is maintained and when a page needs to be replaced, the page in the front of the queue will be chosen.
- 13. Real world applications--- Please play this Video
- 15. Applications related to computer science: 1.When data is transferred asynchronously between two processes. eg. IO Buffers. 2.When a resource is shared among multiple consumers. Examples include CPU scheduling, Disk Scheduling. 3.In recognizing palindrome. 4.In shared resources management. 5.Keyboard buffer. 6.Round robin scheduling. 7.Job scheduling. 8.Simulation