#Table of Contents

1. What is this?
2. Content
   1. Non linear optimization
      1. Naive gradient descent
3. 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:

• R
• janet

#Would like to contribute?

Of course! Patches are welcomed!