Queue and stacks
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This document discusses queues and stacks, including what they are, how they work, and typical problems. It specifically describes queues as first-in, first-out data structures and stacks as last-in, first-out. It then details the classic array implementation of a queue, including how items are added to the rear and read from the front until the queue is full. To solve this, it presents the idea of a circular queue that wraps around to the front of the array when the rear is reached to avoid overflow.
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Stack & queue
Stacks are data structures that follow LIFO (last in, first out) ordering. Elements can only be added to or removed from one end, called the top. Stacks are used to maintain information between main programs and subroutines. Elements are pushed onto the stack by decrementing the stack pointer and storing the element, and popped off by incrementing the stack pointer after retrieving the element. Operations must check that the stack is not empty before popping or full before pushing to prevent errors.
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.
Queue Data Structure
The document discusses queue data structures. A queue is a linear data structure where additions are made at the end/tail and removals are made from the front/head, following a First-In First-Out (FIFO) approach. Common queue operations include add, remove, check if empty, check if full. A queue can be stored using either a static array or dynamic linked nodes. The key aspects are maintaining references to the head and tail of the queue.
STACKS IN DATASTRUCTURE
This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
Stack
This document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure where newly added items are placed on top. The core stack operations of PUSH, POP, and PEEK are described. An array implementation of stacks is presented and animations demonstrate push and pop operations. Applications of stacks like checking for balanced braces, converting infix to postfix notation, and postfix calculators are explained with examples. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
stack & queue
This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.
Stack data structure
The document discusses implementation of stacks. It describes stacks as linear data structures that follow LIFO principles. Key stack operations like push and pop are outlined. Stacks are often implemented using arrays or linked lists. Examples of stack applications include recursion handling, expression evaluation, parenthesis checking, and backtracking problems. Conversion from infix to postfix notation using a stack is also demonstrated.
Notes DATA STRUCTURE - queue
B is inserted at index 1 (back) of the circular queue. back is incremented by 1 using modulo arithmetic to handle wrap-around. count is also incremented.
From previous slide: front = 0, back = 1, count = 2 queue
front = 0
7 0
A back = 2
6 1
B C
back = (1 + 1) % 8
back = 2 % 8
back = 2 5 2
0 queue[2] = C
8√ 2 4 3
Recommended
Stack & queue
Stacks are data structures that follow LIFO (last in, first out) ordering. Elements can only be added to or removed from one end, called the top. Stacks are used to maintain information between main programs and subroutines. Elements are pushed onto the stack by decrementing the stack pointer and storing the element, and popped off by incrementing the stack pointer after retrieving the element. Operations must check that the stack is not empty before popping or full before pushing to prevent errors.
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.
Queue Data Structure
The document discusses queue data structures. A queue is a linear data structure where additions are made at the end/tail and removals are made from the front/head, following a First-In First-Out (FIFO) approach. Common queue operations include add, remove, check if empty, check if full. A queue can be stored using either a static array or dynamic linked nodes. The key aspects are maintaining references to the head and tail of the queue.
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This document discusses stacks as a linear data structure. It defines a stack as a last-in, first-out (LIFO) collection where the last item added is the first removed. The core stack operations of push and pop are introduced, along with algorithms to insert, delete, and display items in a stack. Examples of stack applications include reversing strings, checking validity of expressions with nested parentheses, and converting infix notation to postfix.
Stack
This document discusses stacks and their applications. It defines a stack as a Last In First Out (LIFO) data structure where newly added items are placed on top. The core stack operations of PUSH, POP, and PEEK are described. An array implementation of stacks is presented and animations demonstrate push and pop operations. Applications of stacks like checking for balanced braces, converting infix to postfix notation, and postfix calculators are explained with examples. Pseudocode provides an algorithm for infix to postfix conversion using a stack.
stack & queue
This document discusses stacks and queues as linear data structures. It defines stacks as last-in, first-out (LIFO) collections where the last item added is the first removed. Queues are first-in, first-out (FIFO) collections where the first item added is the first removed. Common stack and queue operations like push, pop, insert, and remove are presented along with algorithms and examples. Applications of stacks and queues in areas like expression evaluation, string reversal, and scheduling are also covered.
Stack data structure
The document discusses implementation of stacks. It describes stacks as linear data structures that follow LIFO principles. Key stack operations like push and pop are outlined. Stacks are often implemented using arrays or linked lists. Examples of stack applications include recursion handling, expression evaluation, parenthesis checking, and backtracking problems. Conversion from infix to postfix notation using a stack is also demonstrated.
Notes DATA STRUCTURE - queue
B is inserted at index 1 (back) of the circular queue. back is incremented by 1 using modulo arithmetic to handle wrap-around. count is also incremented.
From previous slide: front = 0, back = 1, count = 2 queue
front = 0
7 0
A back = 2
6 1
B C
back = (1 + 1) % 8
back = 2 % 8
back = 2 5 2
0 queue[2] = C
8√ 2 4 3
Stack & queues
Stacks and queues are linear data structures. Stacks follow LIFO (last in, first out) where elements are added and removed from one end, while queues follow FIFO (first in, first out) where elements are added to one end and removed from the other. Both have basic operations like push/enqueue and pop/dequeue to add and remove elements. Stacks and queues can be implemented using arrays, linked lists, or other data structures.
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The document discusses stacks and queues, which are fundamental data structures that can insert and remove items. Stacks follow the LIFO (last in, first out) principle, while queues follow the FIFO (first in, first out) principle. The document provides implementations of stacks and queues using linked lists and arrays and examples of their applications in parsing, compilers, undo functions, and more.
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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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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.
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The document discusses stacks and queues. It defines stacks as LIFO data structures and queues as FIFO data structures. It describes basic stack operations like push and pop and basic queue operations like enqueue and dequeue. It then discusses implementing stacks and queues using arrays and linked lists, outlining the key operations and memory requirements for each implementation.
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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
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People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
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Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsGraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Queue and stacks
- 1. Queue and stacks • What they are • How they work • How to make them • Typical problems
- 2. Sample exam question • What is a queue? • What is a stack? • How can one reverse the other?
- 3. Queue • First in • First Out FIFO
- 4. Stack • Last in • First out LIFO
- 5. The problem with queues • Queues work as you would expect – First in, First out - FIFO – Later items take their turn behind earlier ones. • Because of the ‘no shuffling’ rule, these turn out to be tricky to implement
- 6. Classic Array-Style Queue • Items are read off the front of the queue W H E R E sp T H E sp Front of Queue Rear of Queue Limit
- 7. Classic Array-Style Queue • And added to the rear W H E R E sp T H E sp S Front of Queue Rear of Queue Limit Item = W
- 8. Classic Array-Style Queue • Until we run out of space • Then we’re stuffed. W H E R E sp T H E sp S T R E Front of Queue Rear of Queue Limit Item = WHER Warning: Queue Full!
- 10. Brilliant Idea! • If you get to the end .. • Wrap round to the front • Until you hit the Rear pointer E E T R E sp T H E sp S T R E Front of QueueRear of Queue Limit Item = WHERE
- 11. Circular queue • It’s not really a circle! E E T R E sp T H E sp S T R E Front of Queue Rear of Queue EndStart