Data Structures and Algorithms
Открыть в Telegram
Больше
Страна не указанаПродажи3 874
📈 Аналитический обзор Telegram-канала Data Structures and Algorithms
Канал Data Structures and Algorithms (@mastersindsa) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 126 подписчиков, занимая 3 874 место в категории Продажи.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 126 подписчиков.
Согласно последним данным от 02 июля, 2025, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -162, а за последние 24 часа — 0, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 0%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
📝 Описание и контентная политика
Описание канала не предоставлено.
Благодаря высокой частоте обновлений (последние данные получены 03 июля, 2025) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Продажи.
13 126
Подписчики
Нет данных24 часа
-347 дней
-16230 день
Архив постов
Samsung Galaxy Wireless Buds FE at 3999.
https://amzn.to/3NjHSzn
Grab For Needy | Apple Macbook Air M1 Chip (8GB/256GB) @56,490 (Effectively).
https://amzn.to/3YcpLBH
*Flat ₹3000 Off With SBI Credit Card.
Announcing Our Exclusive Scholarship Exam : Unlock your potential Today!
We're excited to announce an exclusive opportunity for you to avail of a discount on our program through our scholarship exam!
This scholarship exam is designed to identify and reward deserving candidates based on their knowledge, skills, and aptitude. By participating, you not only stand a chance to receive financial assistance but also demonstrate your dedication and commitment to excellence in your field.
We look forward to seeing you at the exam and witnessing your journey towards success.
https://tinyurl.com/CNSATXAFF1
🌟 Upgrade Your Coding Journey with Coding Ninjas! 🌟
Why Coding Ninjas?
✅ Top-notch Quality: Courses by industry experts for the best learning experience.
💰 Value for Money: Invest wisely for long-term benefits.
👨🏫 Instant Expert Support: 1:1 Doubt support available all day.
Exclusive Offer: All participants get a 10% discount automatically. Enroll now!
Free Attempt: https://tinyurl.com/CNSATXAFF1
🌟 Upgrade Your Coding Journey with Coding Ninjas! 🌟
Why Coding Ninjas?
✅ Top-notch Quality: Courses by industry experts for the best learning experience.
💰 Value for Money: Invest wisely for long-term benefits.
👨🏫 Instant Expert Support: 1:1 Doubt support available all day.
Exclusive Offer: All participants get a 10% discount automatically. Enroll now!
Free Attempt: https://tinyurl.com/CNSATXAFF1
boAt Aavante Bar Orion Soundbar with 160W
https://amzn.to/3uEnMKh
Park Avenue Good Morning Combo Perfume For Men 300ml (Pack Of 2) @ 225
https://amzn.to/3RCla8k
If you are either preparing for a tech interview or trying to just practice improving your algorithms and data structures I highly suggest reading this book!
It's a long read and has over 150 technical questions, but if you can get through it, you'll never be scared of a whiteboard interview ever again.
Link to buy👇
https://amzn.to/3MzcWLd
https://youtu.be/vy-FaBo71Qg
Guys please like, share, subscribe and keep supporting❤️
>Some rules for big-oh:
1. Ignore the lower order terms.
2. Ignore the coefficients of the highest-order term.
3. NO need to specify the base of logarithm
If T1(N)=O f(N) & T2(N)=O g(N)
T1(N)+T2(N) = max( O(f(N)), O(g(N)) )
T1(N)*T2(N) = O(f(N)* g(N))
NOTE:- ⚡Bounds are for the algorithms rather than programs or problems
Different Approaches :-
1. Empirical:- run an implemented system on real-word data. Notion of benchmarks.
2. Simulation:- run an implemented system on simulated data.
3. Analytical:- use theoretic-model data with a theoretical model system.
Machine Model Assumed:
1. Instructions are executed one after another, with no concurrent operations, Not parallel computers.
2. All operations execute in one unit of time(not the case in real computers)
3. We assume we have infinite memory and hence do not worry about page faulting.
4. Our model has fixed size(say 32 bit) integers and no fancy operations like matrix inversion, sorting.
5. One disk read counts same as addition even though addition is several orders of magnitude faster.
Factors affecting the running time:
*Computer
*Compiler
*Algorithm used
*Input to the Algorithm
*Analyzing an Algorithm*
- Predicting the resources that the algorithm reset.
- Resources include :
- >Memory
- >Communication bandwidth
- >Computational time(usually most important)
What is Algorithm?
A clearly specified set of simple instructions on the data to be followed to solve a problem.
