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This repository contains a handout titled "Algebraic Simplification Rules" designed to assist students in understanding and applying fundamental algebraic simplification techniques.

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Algebraic Simplification Rules

This repository contains a handout titled "Algebraic Simplification Rules" designed to assist students in understanding and applying fundamental algebraic simplification techniques. The document is intended for students of the course "CIT 5920 Mathematical Foundations of Computer Science" to reinforce their foundational algebraic skills, which are crucial for the course.

⚠️ This document is still under improvement. Please feel free to submit a pull request if you have any suggestions.

Color Coding for Easy Parsing

To enhance readability and comprehension, the document employs a strategic color-coding system. This system aids students in quickly identifying and differentiating between factors, operators, and other mathematical elements. The color theme is as follows:

  • Pastel Hunter Green: Represents the primary factor or coefficient.
  • Pastel Orange: Represents the secondary factor or coefficient.
  • Pastel Maroon: Denotes mathematical operators such as addition, subtraction, multiplication, etc.
  • Pastel Dark Purple: Used for alternate terms or results.

The use of colors not only makes the document visually appealing but also facilitates faster parsing and understanding of algebraic rules.

Credits

  • Idea: The inspiration for this document came from a conversation with Arvind Bhusnurmath.
  • Author: The main content and structure of the document were crafted by Jérémie Lumbroso.

License

This document is released under the MIT License. This means it is freely reproducible and modifiable, provided the original attribution is maintained. We encourage educators and students to utilize and adapt this resource to fit their needs, while giving due credit to the original creators.

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This repository contains a handout titled "Algebraic Simplification Rules" designed to assist students in understanding and applying fundamental algebraic simplification techniques.

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