## #Table of Contents

- What is this?
- Content
- Non linear optimization
- Naive gradient descent

- Would like to contribute?

## #What is this?

It is an informal content of several performance comparisons between languages. The core idea is to separate **algorithms** and parallelized or not.

## #Content

For now, the content is

### #Non linear optimization

A nice way (I think) to compare performances are using non linear optimization algorithms. They usually are hard. For that, a nice piece of benchmark can be found here (http://www.sfu.ca/~ssurjano/optimization.html).

#### #Naive gradient descent

This is a "naive" approach because it simplifies the wolf condition (ie, to find the minimum x in a given direction) and the derivative is as simple as one can get.

Languages:

## #Would like to contribute?

Of course! Patches are welcomed!