Added Project and Report

This commit is contained in:
elvis
2024-07-30 14:43:25 +02:00
parent c828453e94
commit 3ad6f7f86f
311 changed files with 13490 additions and 3280 deletions

View File

@ -2,18 +2,18 @@
Repository for the course Computational Mathematics for Learning and Data Analysis.
# Installation
## Installation
These steps are for MacOS, with [```brew```](brew.sh) and ```python3``` already installed.
## Installing Julia
### Installing Julia
```sh
brew install julia
```
## Installing JupyterLab and IJulia kernel
### Installing JupyterLab and IJulia kernel
### IJulia kernel
#### IJulia kernel
Inside the julia REPL:
```julia
@ -23,7 +23,7 @@ Pkg.add("IJulia")
A simple notebook experience can be obtained by simply running ```noteboot()```, which will install in a separate [```conda```](https://docs.conda.io/en/latest/) environment the needed python packages.
### JupyterLab
#### JupyterLab
A separate environment with [```virtualenv```](https://pypi.org/project/virtualenv/) or [```virtualenvwrapper```](https://pypi.org/project/virtualenvwrapper/) is recommended.
@ -31,6 +31,39 @@ A separate environment with [```virtualenv```](https://pypi.org/project/virtuale
pip install jupyterlab
```
# Running
## Running
To run simply start the notebook with ```jupyter lab``` , the julia kernel should be automatically detected.
# Project 19 (Non-ML)
## Project
In the folder `Project` there is our implementation for the project.
Project description:
> (P) is the linear least squares problem
> $$\min_{w} \lVert \hat{X}w-\hat{y} \rVert$$
> where
> $$\hat{X}= \begin{bmatrix} X^T \newline \lambda I_m \end{bmatrix},\ \ \hat{y} = \begin{bmatrix} y \newline 0 \end{bmatrix},$$
> with $X$ the (tall thin) matrix from the ML-cup dataset by prof. Micheli, $\lambda > 0$ and $y$ is a random vector.
> - (A1) is an algorithm of the class of **limited-memory quasi-Newton methods**.
> - (A2) is **thin QR factorization with Householder reflectors**, in the variant where one does not form the matrix $Q$, but stores the Householder vectors $u_k$ and uses them to perform (implicitly) products with $Q$ and $Q^T$.
## Report
In the folder `Report` there is the latex project for the report of the project.
Run to compile:
```
pdflatex -file-line-error -shell-escape --synctex=1 -interaction=nonstopmode main.tex
biber main
pdflatex -file-line-error -shell-escape --synctex=1 -interaction=nonstopmode main.tex
```