Anthony Bonato: It’s a bit of an urban legend in mathematics. There’s a sort of a romance to the story, in a way. If you're enjoying this article, consider supporting our award-winning journalism by ...

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...

If you’ve ever taken an algebra or physics class, then you’ve met a parabola, the simple curve that can model how a ball flies through the air. The most important part of a parabola is the vertex — ...

Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important ...

In 16th century Venice, formulae for solving equations were closely guarded intellectual property. Of particular interest to ballistics and fortifications expert Niccolo Tartaglia were quadratic and ...

Graph sparsification is the approximation of an arbitrary graph by a sparse graph. We explain what it means for one graph to be a spectral approximation of another and review the development of ...