Report 2: YY

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Table of Contents

1. Report 2: YY
   1. Table of Contents
   2. 1. Mathematical Formulas
   3. 2. Code Implementation
   4. 3. Section & Sub-sections
      1. 3.1 Observations
      2. 3.2 Conclusion
   5. 4. Media
   6. 5. Submission Checklist
2. Markdown Features
   1. Callouts
   2. Buttons
   3. Tables

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1. Mathematical Formulas

The probability density function of a Gaussian distribution is defined as:

\[p(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}\]

Where:

• \(\mu\) is the mean (peak location).
• \(\sigma\) is the standard deviation (width of the “bell”).

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2. Code Implementation

Below is a snippet of the Python code used to process the assignment data.

import numpy as np

def calculate_velocity(displacement, time):
    """Calculates average velocity."""
    return np.divide(displacement, time)

print(f"Result: {calculate_velocity(100, 20)} m/s")

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3. Section & Sub-sections

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3.1 Observations

• Observation A: The system remained stable under load.
• Observation B: Latency increased during the second trial.

3.2 Conclusion

The experiment met all primary objectives. Future work should focus on optimizing the data pipeline.

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4. Media

You can include images by placing them in the assets/images/ folder.

Figure 1: Class Logo

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5. Submission Checklist

• Complete Markdown documentation
• Verify LaTeX rendering
• Generate Mermaid flowchart
• Peer review feedback

Markdown Features

Callouts

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Tables

Header	Header
Cell	Cell

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