Update Docs

README.md

@@ -1,32 +1,35 @@
 # New Eigenvectors from Eigenvalues Calculation
 This repository implements this new [paper](https://arxiv.org/pdf/1908.03795.pdf) that allows us to calculate eigenvectors from eigenvectors elegantly through PyTorch.
 
-Full credits given to the **original authors** and the **numpy implementation by Leo Dirac**. 
-
 I ported this to PyTorch as a lot of my workflows are on the GPUs with PyTorch.
 
 ## Run Notebook on Google Colab
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ritchieng/eigenvectors-from-eigenvectors/blob/master/notebooks/comparison.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ritchieng/eigenvectors-from-eigenvalues/blob/master/notebooks/comparison.ipynb)
 
 ## Authors and Abstract
 PETER B. DENTON, STEPHEN J. PARKE, TERENCE TAO, AND XINING ZHANG
 
-"We present a new method of succinctly determining eigenvectors
+```
+We present a new method of succinctly determining eigenvectors
 from eigenvalues. Specifically, we relate the norm squared of the elements of
-eigenvectors to the eigenvalues and the submatrix eigenvalues."
+eigenvectors to the eigenvalues and the submatrix eigenvalues.
+```
 
 ## Core Equation
 ![](./images/lemma2.png)
 
 This is the core equation you will notice being referenced as `equation 2` in the code.
 
 ## Dependencies
-- PyTorch 1.3.1
+- PyTorch 1.3.1 (can be most versions of PyTorch as I used very core basic PyTorch functions)
 - Python 3.6
 
 ## Full Credits
-- [Original authors' paper](https://arxiv.org/pdf/1908.03795.pdf)
+- [Original authors' paper: Eigenvectors from Eigenvalues](https://arxiv.org/pdf/1908.03795.pdf)
+- [Quantamagazine article: Neutrinos Lead to Unexpected Discovery in Basic Math](https://www.quantamagazine.org/neutrinos-lead-to-unexpected-discovery-in-basic-math-20191113/)
 - [Leo Dirac numpy implementation](https://github.com/leopd/geometric-intuition/blob/master/linear-algebra/eigenvectors%20from%20eigenvalues.ipynb)
 
+Full credits given to the **original authors** and the **numpy implementation by Leo Dirac**. 
+
 ## License
 MIT