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https://github.com/sourceduty/network_circuit_theory

🌐 Theoretical circuit or network simulator and development assistant.
https://github.com/sourceduty/network_circuit_theory

ai artificial-intelligence chatgpt circuit circuit-simulation circuit-theory circuits custom-gpt customgpt electrical electrical-circuits electronics gpt gpts network network-circuit-theory networking openai theoretical theory

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🌐 Theoretical circuit or network simulator and development assistant.

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README

        

![Network Circuit Theory](https://github.com/user-attachments/assets/82c5df4f-09a7-4585-9b12-75e38b6389b2)

> Theoretical circuit or network simulator and development assistant.

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[Network & Circuit Theory](https://chatgpt.com/g/g-LkSv6Qu7w-network-circuit-theory) assists users specifically with tasks related to electrical network and circuit simulations. Its primary function is to guide users through the process of setting up simulations, helping them understand how to model different types of circuits and networks effectively. By providing detailed explanations of circuit concepts, it ensures that users can create accurate simulations that reflect real-world electrical behaviors.

This custom GPT offers support in interpreting the results of these simulations. It helps users analyze output data, understand how different components interact, and draw meaningful conclusions from the results. This includes troubleshooting issues that may arise within the simulated environment, such as unexpected behaviors or errors in circuit design. By focusing on theoretical and simulated scenarios, this GPT avoids real-time troubleshooting for physical hardware setups, maintaining its focus on virtual simulations.

The approach taken by this custom GPT is professional and knowledgeable, yet approachable, ensuring that users feel comfortable asking detailed and complex questions. It employs a structured, step-by-step process to gather specific details from users about their simulation requirements, such as the type of circuit, the components involved, and the desired outcomes. This method allows it to provide accurate, tailored advice that aligns with the user's specific needs, making it a valuable tool for both beginners and experienced professionals in the field of electrical engineering and circuit theory.

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### Ordered Queuing

The FIFO (First In, First Out) method of ordering is a fundamental queuing concept used in both networking and circuit systems, where the first element to enter a queue is the first to be processed. In network routing and switching, this is a basic form of scheduling that ensures fairness by processing packets in the order they arrive. The simplicity of FIFO makes it easy to implement, and it works well in systems with low congestion. However, its main limitation arises when network traffic increases. Since FIFO treats all packets equally, it doesn't prioritize critical packets, leading to delays in real-time applications, such as voice and video, where latency can cause performance issues. This results in inefficient resource utilization, particularly in high-demand network environments.

Several other methods exist for packet and task scheduling in both networks and circuits that address the shortcomings of FIFO. One such method is Priority Queuing (PQ), where packets are processed based on their assigned priority, allowing more critical data to be transmitted first. Another alternative is Weighted Fair Queuing (WFQ), which assigns different weights to each queue, providing a more balanced approach between fairness and priority. In circuits, especially in digital signal processing, scheduling techniques like round-robin and least recently used (LRU) provide more optimized ways of managing tasks by considering parameters such as task importance, size, or expected execution time. These methods enhance efficiency, but also introduce more complexity, requiring careful configuration to avoid issues such as starvation of lower-priority tasks.

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| Queuing Method | Description | Pros | Cons |
|---------------------|-------------------------------------------------------------|---------------------------------------------------|-------------------------------------------------------|
| FIFO (First In First Out) | Processes tasks in the order they arrive. | Simple, fair under low load conditions | Can cause latency issues in high-demand scenarios |
| PQ (Priority Queuing) | Processes tasks based on assigned priority levels. | Prioritizes critical tasks | Lower-priority tasks may experience starvation |
| WFQ (Weighted Fair Queuing)| Distributes processing resources based on task weight. | Balances fairness and priority | More complex to implement, can still lead to delays |
| Round Robin | Cycles through tasks in equal time slots. | Simple, ensures all tasks are processed equally | Not suitable for tasks with varying urgency or size |
| LRU (Least Recently Used) | Processes the least recently used tasks first. | Efficient for managing limited resources | Complex, may not suit real-time or high-priority tasks |

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![CPU](https://github.com/user-attachments/assets/eafcb2d7-dd0e-488a-942e-4efc1faa9700)

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### Related Links

[ChatGPT](https://github.com/sourceduty/ChatGPT)


[Computational Networks](https://github.com/sourceduty/Computational_Networks)


[Theoretical Modelling](https://github.com/sourceduty/Theoretical_Modelling)

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