Update README.md

README.md

 # Screen & Relax : A fast solving procedure for the Elastic-Net problem by safe identification of the solution support.
 
-This repository contains numerical procedures linked to the paper
+This repository implements the Screen & Relax method solving the Elastic-Net problem. We introduced this method in
 
 **> ADD CITATION**
 
@@ -13,12 +13,8 @@ If you encounter a bug or something unexpected, please let me know by raising an
 Dependencies :
 * [NumPy](http://www.numpy.org)
 * [SciPy](https://www.scipy.org)
-
-Additional dependencies required to run experiments
 * [Matplotlib](http://matplotlib.org)
 * [Pandas](https://pandas.pydata.org)
-* [PyYAML](https://pyyaml.org)
-* [Jupyter](https://jupyter.org)
 
 ## Install instructions
 
@@ -27,7 +23,7 @@ Additional dependencies required to run experiments
 git clone https://gitlab.insa-rennes.fr/Theo.Guyard/screen-and-relax.git
 ```
 
-2. Enter in the project folder
+2. Enter the project folder
 ```bash
 cd screen-and-relax
 ```
@@ -61,7 +57,7 @@ python exp/ICASSP/convergence.py
 python exp/ICASSP/performance_profiles.py
 ```
 
-You can also edit the experimental setup directly in the script, which is well commented.
+You can also edit the experimental setup directly in the script, which is well documented.
 
 ## Running demo examples
 
@@ -70,7 +66,7 @@ We also provide a notebook explaining how to use the `srenet` package. You can u
 cd notebooks
 jupyter notebook
 ```
-You may have to install Jupyter. Please refer to the [Jupyter website](https://jupyter.org) for install instructions.
+You may have to install Jupyter. Please refer to the [Jupyter website](https://jupyter.org).
 
 ## Licence