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Data Structures and Algorithms

Data Structures and Algorithms

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📈 Analytical overview of Telegram channel Data Structures and Algorithms

Channel Data Structures and Algorithms (@mastersindsa) in the English language segment is an active participant. Currently, the community unites 13 126 subscribers, ranking 3 874 in the Sales category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 126 subscribers.

According to the latest data from 02 July, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by -162 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.

📝 Description and content policy

Channel description not provided.

Thanks to the high frequency of updates (latest data received on 03 July, 2025), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Sales category.

13 126
Subscribers
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-16230 days

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>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))
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NOTE:- ⚡Bounds are for the algorithms rather than programs or problems
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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.
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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.
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Factors affecting the running time: *Computer *Compiler *Algorithm used *Input to the Algorithm
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*Analyzing an Algorithm* - Predicting the resources that the algorithm reset. - Resources include : - >Memory - >Communication bandwidth - >Computational time(usually most important)
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Program = Data Structures + Algorithms
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What is Algorithm? A clearly specified set of simple instructions on the data to be followed to solve a problem.
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What is Data Structure? Method of organizing data
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