Update README.md

README.md

@@ -10,11 +10,7 @@ The above paper contains theoretical and numerical results that can be reproduce
 
 `srenet` (**S**creen & **R**elax method for the **E**lastic-**NET** problem) package works with Python 3.9+. Please refer to the [Python download page](https://www.python.org/downloads/) for install instructions.
 
-Dependencies :
-* [NumPy](http://www.numpy.org)
-* [SciPy](https://www.scipy.org)
-* [Matplotlib](http://matplotlib.org)
-* [Pandas](https://pandas.pydata.org)
+**Dependencies** : [NumPy](http://www.numpy.org), [SciPy](https://www.scipy.org), [Matplotlib](http://matplotlib.org), [Pandas](https://pandas.pydata.org)
 
 ## Install instructions
 
@@ -47,8 +43,8 @@ pip install .
 ## ICASSP experiments
 
 Experiments presented in the Screen & Relax paper are located in the folder `screen-and-relax/exp/ICASSP/`. The two available experiments are 
-* `convergence.py` corresponding to figure 1
-* `performance_profiles.py` corresponding to figure 2
+* `convergence.py` : convergence of the four compared methods on a single problem instance
+* `performance_profiles.py` : re-generate figure 1 of the "Screen & Relax" paper
 
 To run experiments, make sure to be located at project root and run the corresponding python file :
 ```bash
@@ -57,7 +53,7 @@ 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 documented.
+You can also edit the experimental setup directly in the script, just follow the comments documenting the code.
 
 ## Running demo examples
 
@@ -66,7 +62,7 @@ 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).
+You may have to install Jupyter. Please refer to the [Jupyter website](https://jupyter.org) for install instructions.
 
 ## Licence