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https://github.com/wuthefwasthat/eigenseeclearlynow

Linear algebra visualizations
https://github.com/wuthefwasthat/eigenseeclearlynow

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Linear algebra visualizations

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README

        

# EIGEN SEE CLEARLY NOW #

## OVERVIEW ##

This is a project to help anyone learning linear algebra visualize its concepts.

It is still an early-stage work in progress.

Click [here](https://www.wuthejeff.com/spangame) for a partial demo.

## SETUP ##

Install:

git clone https://github.com/WuTheFWasThat/EigenSeeClearlyNow.git
cd EigenSeeClearlyNow
npm install

Start:

npm start

Then just hit port 8080 on localhost

## TO-DO: ##

- matrix * vector
- matrix * matrix
- matrices!
- make gridding better?
- make distances/etc aspects of view configurable?
- make keyboard handler more flexible?

- make prod version work: `NODE_ENV=production ./node_modules/.bin/coffee server.coffee`

### IDEAS: ###

- determinant
- independence (as a game?)
- make span game 2! (hint: Try rotating the camera so that one basis vector lines up with the origin. You should be able to visually prove that this game is impossible!)
- refactor span game!
- symmetric matrix
- orthogonal matrix
- inverse
- eigenvalue
- something where you find eigenvalue by sliding around lambda in (A - lambda I)?
- SVD

### TOPICS: ###

- subspace
- Nullspace
- Colspace
- span
- independence
- bases
Square matrices:
1. matrix is invertible if 1 to 1 inverse matrix
2. change of basis
Symmetric matrices:
2. two vectors are orthogonal if dot product is zero.
to see this, change bases
3. orthogonal projection
4. have orthonormal set of eigenvalues

more:
eigenvectors
spectral theora

advanced:
dual space?
direct sum?

## KNOWN ISSUES: ##

## CONTRIBUTE: ##

Feel free to send me pull requests!

For the visualizations, we use [three.js](https://github.com/mrdoob/three.js). Many thanks to them!

### CONTRIBUTORS: ###
- Jeff Wu
- Yang Hong