Books
Data Sets
Experimental Math
Featured Posts
Python
Quantum, chaotic and fractal types of algorithmic convergence
For centuries, mathematicians worked on problems where the convergence is either smooth or does not happen. Now the concept of chaotic convergence is mainstream, popularized by the stochastic gradient descent in deep neural networks, central to LLMs. In my most recent book here, I discuss many cases involving various types of chaotic convergence. In some […]
Read More