# ECE490
Repo to collaborate within for UIUC's ECE490, Spring 2023
## Installation
### Installation from PyPI
This should be as simple as:
```bash
python -m pip install uiuc-490-sp23
```
### Installation from Source
This project uses [Poetry](https://python-poetry.org/) Install it via
[their instructions](https://python-poetry.org/docs/#installing-with-the-official-installer)
and run:
```bash
poetry install
```
from this directory (preferably from within a `venv`).
## Executing
Once installed, individual assignments can be ran by:
```bash
python -m uiuc_490_sp23.assignment<n>
```
where `<n>` is the assignment number. These will have a CLI implemented using argparse; if you're not sure,
just run the above with `--help` to get a full list of commands.
## Assignments
### Assignment 1: Gradient Descent
This solves a simple, randomly generated quadratic minimization problem using Gradient Descent. It does so using
both fixed step size, as well as an adaptive backtracking line search (Armijo's rule).
### Assignment 2: Newton's Method and Projected Gradient Descent
This assignment does two things:
- Implements Newton's method to solve a simple 2D cubic polynomial and plots a fractal displaying the resulting solution based on the starting point
- Implements Projected gradient descent and uses it to solve a simple box constrained optimization problem
### Assignment 3: Augmented Lagrangian
This assignment implements the augmented Lagrangian to solve an equality constrained quadratic problem.
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"description": "# ECE490\nRepo to collaborate within for UIUC's ECE490, Spring 2023\n\n## Installation\n### Installation from PyPI\nThis should be as simple as:\n```bash\npython -m pip install uiuc-490-sp23\n```\n### Installation from Source\nThis project uses [Poetry](https://python-poetry.org/) Install it via\n[their instructions](https://python-poetry.org/docs/#installing-with-the-official-installer)\nand run:\n```bash\npoetry install\n```\nfrom this directory (preferably from within a `venv`).\n\n## Executing\nOnce installed, individual assignments can be ran by:\n```bash\npython -m uiuc_490_sp23.assignment<n>\n```\nwhere `<n>` is the assignment number. These will have a CLI implemented using argparse; if you're not sure,\njust run the above with `--help` to get a full list of commands.\n\n\n## Assignments\n### Assignment 1: Gradient Descent\nThis solves a simple, randomly generated quadratic minimization problem using Gradient Descent. It does so using\nboth fixed step size, as well as an adaptive backtracking line search (Armijo's rule).\n\n### Assignment 2: Newton's Method and Projected Gradient Descent\nThis assignment does two things:\n- Implements Newton's method to solve a simple 2D cubic polynomial and plots a fractal displaying the resulting solution based on the starting point\n- Implements Projected gradient descent and uses it to solve a simple box constrained optimization problem\n\n### Assignment 3: Augmented Lagrangian\nThis assignment implements the augmented Lagrangian to solve an equality constrained quadratic problem.",
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