Algorithms have become ubiquitous in modern life 1, with numerous applications in fields ranging from finance and business to healthcare and transportation. They are essential tools for making sense ...

The use of gradient descent methods for optimizing k-eigenvalue nuclear systems has been shown to be useful in the past, but the use of k-eigenvalue gradients have proved computationally challenging ...