Study & Analysis of Complexities of Stack & Queue Operations in Data Structure
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Stack a Data Structure
The document discusses stacks, which are a fundamental data structure used in programs. It defines a stack as a linear list of items where additions and deletions are restricted to one end, called the top. Common stack operations include push, which adds an element to the top, and pop, which removes an element from the top. Stacks have applications in parsing expressions, reversing strings, implementing depth-first search algorithms, and calculating arithmetic expressions in prefix and postfix notation. Stacks can be implemented using static arrays or dynamic arrays/linked lists.
What is Stack, Its Operations, Queue, Circular Queue, Priority Queue
Explain Stack and its Concepts, Its Operations, Queue, Circular Queue, Priority Queue. Explain Queue and It's Operations
Data Structures, Abstract Data Types
Queues
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
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.
Data Structure -List Stack Queue
This document defines and compares common data structures like lists, stacks, and queues. It describes their abstract definitions, common operations, and different implementation methods. Lists can be implemented with arrays or linked nodes and support insertion, deletion, and retrieval of elements. Stacks and queues follow last-in first-out and first-in first-out rules respectively.
Priority queues
Describes basic understanding of priority queues, their applications, methods, implementation with sorted/unsorted list, sorting applications with insertion sort and selection sort with their running times.
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.
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.
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Stack a Data Structure
The document discusses stacks, which are a fundamental data structure used in programs. It defines a stack as a linear list of items where additions and deletions are restricted to one end, called the top. Common stack operations include push, which adds an element to the top, and pop, which removes an element from the top. Stacks have applications in parsing expressions, reversing strings, implementing depth-first search algorithms, and calculating arithmetic expressions in prefix and postfix notation. Stacks can be implemented using static arrays or dynamic arrays/linked lists.
What is Stack, Its Operations, Queue, Circular Queue, Priority Queue
Explain Stack and its Concepts, Its Operations, Queue, Circular Queue, Priority Queue. Explain Queue and It's Operations
Data Structures, Abstract Data Types
Queues
Queues
a. Concept and Definition
b. Queue as an ADT
c. Implementation of Insert and Delete operation of:
• Linear Queue
• Circular Queue
For More:
https://github.com/ashim888/dataStructureAndAlgorithm
http://www.ashimlamichhane.com.np/
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.
Data Structure -List Stack Queue
This document defines and compares common data structures like lists, stacks, and queues. It describes their abstract definitions, common operations, and different implementation methods. Lists can be implemented with arrays or linked nodes and support insertion, deletion, and retrieval of elements. Stacks and queues follow last-in first-out and first-in first-out rules respectively.
Priority queues
Describes basic understanding of priority queues, their applications, methods, implementation with sorted/unsorted list, sorting applications with insertion sort and selection sort with their running times.
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.
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.
Stacks overview with its applications
Stacks are linear data structures where elements are inserted and removed from the same end, known as the top. Common stack operations include push to add an element, pop to remove the top element, and peek to view the top element without removing it. Stacks are often implemented using arrays or linked lists and have O(1) time complexity for operations. Some applications of stacks include reversing data, converting numbers between bases, expression conversions, and backtracking problems like N-Queens.
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The document discusses different types of queues and their implementations. It begins by defining a queue as a first-in first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. It then covers linear and circular queue implementations using arrays, including operations like insertion, deletion, checking for empty/full, and traversal. Priority queues are also introduced, which process elements based on assigned priorities. The key types and operations of queues as an abstract data type (ADT) are summarized.
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The document discusses different types of queues, including simple, circular, priority, and double-ended queues. It describes the basic queue operations of enqueue and dequeue, where new elements are added to the rear of the queue and existing elements are removed from the front. Circular queues are more memory efficient than linear queues by connecting the last queue element back to the first, forming a circle. Priority queues remove elements based on priority rather than order of insertion. Double-ended queues allow insertion and removal from both ends. Common applications of queues include CPU and disk scheduling, synchronization between asynchronous processes, and call center phone systems.
Stack
A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
Data Structure (Stack)
Stack is a data structure that only allows elements to be added and removed from one end, called the top. It has components like a top pointer variable, elements that hold data, and a maximum size. Stacks can be implemented as arrays or linked lists. The main operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. These operations work similarly in array and linked list implementations, by incrementing or decrementing the top pointer and adding or removing the top element.
data structure, stack, stack data structure
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Values are inserted into and retrieved from one end, called the top of the stack. The two main operations are push, which inserts a value into the stack, and pop, which retrieves a value. An example C program demonstrates these operations on a stack implemented with an array. The stack starts empty and grows as values are pushed on until it reaches its maximum size, at which point it is full. Values can be continuously popped off until the stack is empty again.
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
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.
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This document discusses queues and priority queues. It defines a queue as a first-in first-out (FIFO) linear data structure with elements added to the rear and removed from the front. Circular queues are introduced to address the limitation of linear queues filling up. Priority queues are also covered, with elements ordered by priority and the highest or lowest priority element always at the front. Implementation of priority queues using heaps is explained, with insertion and deletion operations having time complexity of O(log n).
Stack Data Structure & It's Application
Stack is a last-in, first-out (LIFO) data structure where elements are inserted and removed from the top. Pushing adds an element to the top of the stack, while popping removes the top element. A stack overflow occurs when pushing to a full stack, while a stack underflow happens when popping an empty stack. Stack applications include system startup/shutdown processes, function calling where the last function called is the first to return, and argument passing in C where arguments are pushed right-to-left and popped left-to-right.
Queue
This document discusses queues as an abstract data type and their common implementations and operations. Queues follow first-in, first-out (FIFO) ordering, with new items added to the rear and removed from the front. Queues can be implemented using either arrays or linked lists. Array implementations involve tracking the front, rear, and size of the queue, with special logic needed when the rear reaches the end. Linked list implementations use head and tail pointers to reference the front and rear of the queue. Common queue operations like enqueue and dequeue are also described.
Circular queue
A circular queue is a fixed size data structure that follows FIFO (first in, first out) principles. Elements are added to the rear of the queue and removed from the front. When the rear reaches the end, it wraps around to the beginning so the queue space is used efficiently. Common circular queue operations include enqueue to add an element, dequeue to remove an element, and display to output all elements.
Insertion sort
This document discusses insertion sort, including its mechanism, algorithm, runtime analysis, advantages, and disadvantages. Insertion sort works by iterating through an unsorted array and inserting each element into its sorted position by shifting other elements over. Its worst case runtime is O(n^2) when the array is reverse sorted, but it performs well on small, nearly sorted lists. While simple to implement, insertion sort is inefficient for large datasets compared to other algorithms.
Insertion & Selection Sort - using Priority Queues
Elaboration of sorting applications of Priority Queues using Insertion Sort and Selection Sort, with animations and their running times justifications
Queue data structure
A queue is a non-primitive linear data structure that follows the FIFO (first-in, first-out) principle. Elements are added to the rear of the queue and removed from the front. Common operations on a queue include insertion (enqueue) and deletion (dequeue). Queues have many real-world applications like waiting in lines and job scheduling. They can be represented using arrays or linked lists.
stack presentation
The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Queues in C++
The document provides information about queues in C++. It defines a queue as a first-in, first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. The document discusses implementing queues using arrays and linked lists, with operations like insertion, deletion, and handling overflow/underflow. Example C++ programs are provided to demonstrate queue operations and implementations using arrays and linked lists.
Data Structure (Queue)
Queue is a first-in first-out (FIFO) data structure where elements can only be added to the rear of the queue and removed from the front of the queue. It has two pointers - a front pointer pointing to the front element and a rear pointer pointing to the rear element. Queues can be implemented using arrays or linked lists. Common queue operations include initialization, checking if empty/full, enqueue to add an element, and dequeue to remove an element. The document then describes how these operations work for queues implemented using arrays, linked lists, and circular arrays. It concludes by providing exercises to implement specific queue tasks.
Project of data structure
The document discusses various applications of stacks including:
1) Reversing strings by pushing characters onto a stack and popping them off in reverse order.
2) Calculator operations using postfix notation and a stack.
3) Recursive functions using a stack to store previous function calls and variables.
4) Determining if a word is a palindrome by pushing characters onto a stack and comparing to the popped off characters.
Code examples are provided for reversing strings, recursive summation, and determining palindromes using stacks.
VCE Unit 03vv.pptx
The document discusses data structures and algorithms including stacks, queues, and their implementations using arrays and linked lists. Key points:
1. Stacks follow LIFO principle and allow insertion/removal at one end only. Queues follow FIFO principle. Both can be implemented using arrays or linked lists.
2. Common stack operations like push, pop, and peek have O(1) time complexity. Queue operations like enqueue and dequeue also have O(1) time complexity.
3. Linked list implementations of stacks and queues allocate memory dynamically and don't have size limits like arrays.
4. A circular queue treats the last node as connected to the first, forming a ring. This allows insertion
queue.pptx
Queues are an essential concept in computer science and play a crucial role in solving a wide range of problems efficiently.
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Stacks are linear data structures where elements are inserted and removed from the same end, known as the top. Common stack operations include push to add an element, pop to remove the top element, and peek to view the top element without removing it. Stacks are often implemented using arrays or linked lists and have O(1) time complexity for operations. Some applications of stacks include reversing data, converting numbers between bases, expression conversions, and backtracking problems like N-Queens.
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The document discusses different types of queues and their implementations. It begins by defining a queue as a first-in first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. It then covers linear and circular queue implementations using arrays, including operations like insertion, deletion, checking for empty/full, and traversal. Priority queues are also introduced, which process elements based on assigned priorities. The key types and operations of queues as an abstract data type (ADT) are summarized.
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The document discusses different types of queues, including simple, circular, priority, and double-ended queues. It describes the basic queue operations of enqueue and dequeue, where new elements are added to the rear of the queue and existing elements are removed from the front. Circular queues are more memory efficient than linear queues by connecting the last queue element back to the first, forming a circle. Priority queues remove elements based on priority rather than order of insertion. Double-ended queues allow insertion and removal from both ends. Common applications of queues include CPU and disk scheduling, synchronization between asynchronous processes, and call center phone systems.
Stack
A stack is a data structure where items can only be inserted and removed from one end. The last item inserted is the first item removed (LIFO). Common examples include stacks of books, plates, or bank transactions. Key stack operations are push to insert, pop to remove, and functions to check if the stack is empty or full. Stacks can be used to implement operations like reversing a string, converting infix to postfix notation, and evaluating arithmetic expressions.
Data Structure (Stack)
Stack is a data structure that only allows elements to be added and removed from one end, called the top. It has components like a top pointer variable, elements that hold data, and a maximum size. Stacks can be implemented as arrays or linked lists. The main operations on a stack are push, which adds an element to the top, and pop, which removes an element from the top. These operations work similarly in array and linked list implementations, by incrementing or decrementing the top pointer and adding or removing the top element.
data structure, stack, stack data structure
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Values are inserted into and retrieved from one end, called the top of the stack. The two main operations are push, which inserts a value into the stack, and pop, which retrieves a value. An example C program demonstrates these operations on a stack implemented with an array. The stack starts empty and grows as values are pushed on until it reaches its maximum size, at which point it is full. Values can be continuously popped off until the stack is empty again.
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Queue is a collection whose elements are added at one end and removed from the other end
What is a Queue
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Uses of Queues in Computing
Operations on a Queue
Implementation of a Queue
Applications
Downloadable Resources
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.
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1. What is Queue?
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This document discusses queues and priority queues. It defines a queue as a first-in first-out (FIFO) linear data structure with elements added to the rear and removed from the front. Circular queues are introduced to address the limitation of linear queues filling up. Priority queues are also covered, with elements ordered by priority and the highest or lowest priority element always at the front. Implementation of priority queues using heaps is explained, with insertion and deletion operations having time complexity of O(log n).
Stack Data Structure & It's Application
Stack is a last-in, first-out (LIFO) data structure where elements are inserted and removed from the top. Pushing adds an element to the top of the stack, while popping removes the top element. A stack overflow occurs when pushing to a full stack, while a stack underflow happens when popping an empty stack. Stack applications include system startup/shutdown processes, function calling where the last function called is the first to return, and argument passing in C where arguments are pushed right-to-left and popped left-to-right.
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This document discusses queues as an abstract data type and their common implementations and operations. Queues follow first-in, first-out (FIFO) ordering, with new items added to the rear and removed from the front. Queues can be implemented using either arrays or linked lists. Array implementations involve tracking the front, rear, and size of the queue, with special logic needed when the rear reaches the end. Linked list implementations use head and tail pointers to reference the front and rear of the queue. Common queue operations like enqueue and dequeue are also described.
Circular queue
A circular queue is a fixed size data structure that follows FIFO (first in, first out) principles. Elements are added to the rear of the queue and removed from the front. When the rear reaches the end, it wraps around to the beginning so the queue space is used efficiently. Common circular queue operations include enqueue to add an element, dequeue to remove an element, and display to output all elements.
Insertion sort
This document discusses insertion sort, including its mechanism, algorithm, runtime analysis, advantages, and disadvantages. Insertion sort works by iterating through an unsorted array and inserting each element into its sorted position by shifting other elements over. Its worst case runtime is O(n^2) when the array is reverse sorted, but it performs well on small, nearly sorted lists. While simple to implement, insertion sort is inefficient for large datasets compared to other algorithms.
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Elaboration of sorting applications of Priority Queues using Insertion Sort and Selection Sort, with animations and their running times justifications
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A queue is a non-primitive linear data structure that follows the FIFO (first-in, first-out) principle. Elements are added to the rear of the queue and removed from the front. Common operations on a queue include insertion (enqueue) and deletion (dequeue). Queues have many real-world applications like waiting in lines and job scheduling. They can be represented using arrays or linked lists.
stack presentation
The document introduces stacks and discusses their implementation and applications. It defines a stack as a data structure that follows LIFO order, where elements can only be added and removed from one end. Stacks have two main implementations - using arrays and linked lists. Common applications of stacks include undo/redo in editors, browser history, and evaluating postfix expressions.
Queues in C++
The document provides information about queues in C++. It defines a queue as a first-in, first-out (FIFO) data structure where elements are inserted at the rear and deleted from the front. The document discusses implementing queues using arrays and linked lists, with operations like insertion, deletion, and handling overflow/underflow. Example C++ programs are provided to demonstrate queue operations and implementations using arrays and linked lists.
Data Structure (Queue)
Queue is a first-in first-out (FIFO) data structure where elements can only be added to the rear of the queue and removed from the front of the queue. It has two pointers - a front pointer pointing to the front element and a rear pointer pointing to the rear element. Queues can be implemented using arrays or linked lists. Common queue operations include initialization, checking if empty/full, enqueue to add an element, and dequeue to remove an element. The document then describes how these operations work for queues implemented using arrays, linked lists, and circular arrays. It concludes by providing exercises to implement specific queue tasks.
Project of data structure
The document discusses various applications of stacks including:
1) Reversing strings by pushing characters onto a stack and popping them off in reverse order.
2) Calculator operations using postfix notation and a stack.
3) Recursive functions using a stack to store previous function calls and variables.
4) Determining if a word is a palindrome by pushing characters onto a stack and comparing to the popped off characters.
Code examples are provided for reversing strings, recursive summation, and determining palindromes using stacks.
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A stack is a last-in, first-out data structure where elements can only be added (pushed) or removed (popped) from one end, called the top. Common applications include reversing words, implementing undo functions, backtracking in algorithms, and managing function calls and memory allocation using a call stack. Stacks are often implemented using arrays, where an index tracks the top element and elements are added or removed by changing the top index and relevant array values.
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The entire PPT focuses about the subject "System Programming".
The PPT consist of the basics of the topic that will cover the entire topic.
MACRO ASSEBLER
This PPT covers the entire topic of Macro Assembler. This Includes the topic such as design of a macro assembler, 3 passes of macro assembler etc.
This is the PPT of System Programming.
Icons, Image & Multimedia
This is an PPT about the Icons that are used in Graphical User Interface, the Images that are used for developing a web page & the use of multimedia for various purpose.
This is an PowerPoint Presentation of Front End Design.
Project Tracking & SPC
This PPT describes about the "Project Tracking" activity & statistical process control at Infosys.
It covers the entire topic such as project tracking, activities tracking, defect tracking, issue tracking, etc.
It covers all main activity of SPC such as SPC analysis, control chart for SPC etc.
This PowerPoint presentation is of "Software Project Management".
Peephole Optimization
This is the PowerPoint presentation on the topic "Peephole Optimization". This presentation covers the entire topic of peephole optimization.
This PowerPoint presentation is of Compiler Design.
Routing in MANET
This is the PPT of "Routing in Manet". It covers the entire topic of routing protocol.
This PowerPoint presentation is of Data Communication & Computer Network.
Macro assembler
The document discusses the design of a two-pass macro preprocessor. In pass one, macro definitions are identified and stored in a macro definition table along with their parameters. A macro name table is also created. In pass two, macro calls are identified and replaced by retrieving the corresponding macro definition and substituting actual parameters for formal parameters using an argument list array. Databases like the macro definition table, macro name table, and argument list array are used to store and retrieve macro information to enable expansion of macro calls. The algorithm scans the input sequentially in each pass to process macro definitions and calls.
Architecture and security in Vanet PPT
This document discusses Vehicular Ad-Hoc Networks (VANETs) which allow vehicles to communicate with each other to share safety and traffic information. It outlines the architecture of VANETs including vehicle-to-vehicle and vehicle-to-infrastructure communication. The document also discusses security issues in VANETs such as bogus information attacks, identity disclosure, and denial-of-service attacks. It proposes the use of authentication, message integrity, privacy, traceability and availability to address these security requirements. The document assumes that roadways are divided into regions managed by trusted roadside infrastructure units.
Design Model & User Interface Design in Software Engineering
This is an PPT of Software Engineering. This contains the following topic such as "Design Model & User Interface Design in Software Engineering ".
Text Mining of Twitter in Data Mining
This is an PPPt of Data Mining.It contains the following topic such as " Text Mining of Twitter in Data Mining".
DFS & BFS in Computer Algorithm
This document discusses breadth-first search (BFS) and depth-first search (DFS) algorithms for traversing graphs. It provides examples of how BFS uses a queue to search all neighbors at the current level before moving to the next level, while DFS uses a stack and explores each branch as far as possible before backtracking. The document compares key differences between BFS and DFS such as their time and space complexities, usefulness for finding shortest paths, and whether queues or stacks are used. Application areas for each algorithm are also mentioned.
Software Development Method
This is PPT of Computer-Science Paper. This presentation consist of various software development method.
Secant method in Numerical & Statistical Method
This is an PPT of a Mathematical Paper i.e Numerical & Statistical Method. It contsin the following topic such as "Secant method in Numerical & Statistical Method ".
Motivation in Organization
This is an PPT of Management. This contains the following topic such as "Motivation in Organization".
Communication Skill
This document discusses communication and barriers to effective communication. It defines communication as the exchange of information, ideas, thoughts and feelings between individuals through speech, writing and behavior. It then outlines some common barriers to communication, including badly expressed messages, loss in transmission, semantic problems, over or under communication, prejudices on the sender's part, and poor attention, inattentive listening, evaluation, interests/attitudes and refutation on the receiver's part. The document suggests identifying and addressing such barriers to improve communication.
Partial-Orderings in Discrete Mathematics
This is an PPT of Discrete Mathematics. It contains the following topic " Partial-Orderings in Discrete Mathematics ".
Hashing In Data Structure
This document provides an introduction to hashing and hash tables. It defines hashing as a data structure that uses a hash function to map values to keys for fast retrieval. It gives an example of mapping list values to array indices using modulo. The document discusses hash tables and their operations of search, insert and delete in O(1) time. It describes collisions that occur during hash function mapping and resolution techniques like separate chaining and linear probing.
More from Meghaj Mallick (20)
Design Model & User Interface Design in Software Engineering
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Artificial Intelligence, Data and Competition – OECD – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – OECD – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdf
Psychological safety in teams is important; team members must feel safe and able to communicate and collaborate effectively to deliver value. It’s also necessary to build long-lasting teams since things will happen and relationships will be strained.
But, how safe is a team? How can we determine if there are any factors that make the team unsafe or have an impact on the team’s culture?
In this mini-workshop, we’ll play games for psychological safety and team culture utilizing a deck of coaching cards, The Psychological Safety Cards. We will learn how to use gamification to gain a better understanding of what’s going on in teams. Individuals share what they have learned from working in teams, what has impacted the team’s safety and culture, and what has led to positive change.
Different game formats will be played in groups in parallel. Examples are an ice-breaker to get people talking about psychological safety, a constellation where people take positions about aspects of psychological safety in their team or organization, and collaborative card games where people work together to create an environment that fosters psychological safety.
BRIC_2024_2024-06-06-11:30-haunschild_archival_version.pdf
These are the slides of my presentation at BRIC 2024 about global science overlay maps using OpenAlex.
原版制作贝德福特大学毕业证（bedfordhire毕业证）硕士文凭原版一模一样
原版一模一样【微信：741003700 】【贝德福特大学毕业证（bedfordhire毕业证）硕士文凭】【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
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...
Artificial Intelligence, Data and Competition – SCHREPEL – June 2024 OECD dis...OECD Directorate for Financial and Enterprise Affairs
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Mẫu PPT kế hoạch làm việc sáng tạo cho nửa cuối năm PowerPoint
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
2024-05-30_meetup_devops_aix-marseille.pdf
Slides de notre meetup DevOps AixMarseille du 30 mai 2024 chez SmarTribune
Sujets: platform engineering / terragrunt / test containers
ASONAM2023_presection_slide_track-recommendation.pdf
Presented at the 2023 IEEE/ACM International Conference on
Advances in Social Networks Analysis and Mining.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...
Artificial Intelligence, Data and Competition – ČORBA – June 2024 OECD discus...OECD Directorate for Financial and Enterprise Affairs
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
XP 2024 presentation: A New Look to Leadership
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Competition and Regulation in Professions and Occupations – ROBSON – June 202...OECD Directorate for Financial and Enterprise Affairs
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.Carrer goals.pptx and their importance in real life
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
Pro-competitive Industrial Policy – LANE – June 2024 OECD discussion
Pro-competitive Industrial Policy – LANE – June 2024 OECD discussionOECD Directorate for Financial and Enterprise Affairs
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...
Competition and Regulation in Professions and Occupations – OECD – June 2024 ...OECD Directorate for Financial and Enterprise Affairs
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Tom tresser burning issue.pptx My Burning issue
Addressing the status of black home ownership in America. and what actions are taken to impact these trends.
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Artificial Intelligence, Data and Competition – OECD – June 2024 OECD discussion
Artificial Intelligence, Data and Competition – OECD – June 2024 OECD discussion
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdf
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdf
BRIC_2024_2024-06-06-11:30-haunschild_archival_version.pdf
BRIC_2024_2024-06-06-11:30-haunschild_archival_version.pdf
Artificial Intelligence, Data and Competition – LIM – June 2024 OECD discussion
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Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie Wells
ASONAM2023_presection_slide_track-recommendation.pdf
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Competition and Regulation in Professions and Occupations – ROBSON – June 202...
Carrer goals.pptx and their importance in real life
Carrer goals.pptx and their importance in real life
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...
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Pro-competitive Industrial Policy – LANE – June 2024 OECD discussion
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Competition and Regulation in Professions and Occupations – OECD – June 2024 ...
Study & Analysis of Complexities of Stack & Queue Operations in Data Structure
- 2. Contents Meaning of time complexity analysis Queue data structure Complexity analysis of queue operations Stack data structure Complexity analysis of stack operations
- 3. Time complexity analysis Analysis is based on the amount of work done by the algorithm. Time complexity expresses the relationship between the size of the input and the run time for the algorithm. To simplify analysis, we sometimes ignore work that takes a constant amount of time, independent of the problem input size.
- 4. Simplified analysis can be based on: Number of arithmetic operations performed Number of comparisons made Number of times through a critical loop Number of array elements accessed
- 5. Queue Data Structure Queue is a linear structure which follows a particular order in which the operations are performed. The order is First In First Out (FIFO).
- 6. Queue operations Mainly the following 2 operations are performed on queue: Enqueue: Adds an item to the queue. Dequeue: Removes an item from the queue.
- 8. Queue implemented as array Array elements are stored contiguously in memory, so the time required to compute the memory address of an array element arr[k] is independent of the array’s size. So, storing and retrieving array elements are O(1) operations.
- 9. The time complexity of enqueue operation is O(1) unless the array size has to be increased (in which case it’s O(n)). • The time complexity of dequeue operation is O(n) because all the remaining elements have to be shifted.
- 10. Queue implemented as linked list As long as we have both a head and a tail pointer in the linked list, all operations are O(1) To achieve O(1) performance, linked queue can be implemented as: a doubly-linked list, which naturally allows you to manipulate each end as a single operation.
- 11. Stack data structure It is a simple data structure that allows adding and removing elements in a particular order. Every time an element is added, it goes on the top of the stack and the only element that can be removed is the element that is at the top of the stack.
- 12. Stack operations Mainly the following 2 operations are performed on queue: push: Adds an item to the stack. pop: Removes an item from the stack.
- 14. Stack implemented as array All operations are O(1), provided that the top of the stack is always at the highest index currently in use: no shifting required. In push operation you add one element at the top of the stack so you make one step , so it takes constant time so push takes O(1). In pop operation you remove one element from the top of the stack so you make one step , so it takes constant time so push takes O(1)
- 15. Stack implemented using linked list Stack using an underlying linked list: All operations are O(1) Top of stack is the head of the linked list If a doubly-linked list with a tail pointer is used, the top of the stack can be the tail of the list