Past Events

TBA

It is well-known that quadratic forms can be diagonalized over fields and that they are in a one-to-one correspondence with bilinear forms; the algebraic theory of quadratic forms is build on these two properties. But there is a catch -- they require...

In order to positively narrow the educational gap between the Indigenous communities and the rest of the population, there needs to be a continuous and long-term intervention for change. By leaving behind the philosophy of reduced expectations...

Remarkable recent successes of deep learning have heavily relied on very large neural networks. Time and time again, larger networks have shown better performance than smaller networks trained on comparably sized data sets. Since large networks...

Students from grades 5, 6, and 7 will compete in separate divisions. Each division will enjoy three rounds of competition: Sprint Round During the Sprint Round participants have 50 minutes to answer 26 questions written on three pages (each correct...

Geometric flows have been proven to be powerful tools in the study of many important problems arising from both geometry and theoretical physics. Aiming to study the equations from the flux compactifications of Type IIA superstrings, we introduce the...

A partial monoid is a set A with a multiplication and a unit, but the multiplication is only defined on a certain subset of pairs. This means the multiplication m:AxA -> A is a partial map, a map that is only defined on a certain subset of its domain...

Biological populations are responding to climate-driven habitat shifts by either adapting in place or moving in space to follow their suitable temperature regime. The shifting speeds of temperature isoclines fluctuate in time and empirical evidence...

We present joint work with Ravi Shankar on Hessian estimate and interior regularity for the sigma-2 equation in four dimensions. Our method also provides respectively a Hessian estimate for smooth solutions satisfying a dynamic semi-convexity...

In this talk, our objective is to convince you that, in recent years, the eigenvectors and eigenvalues of matrices associated with graphs are one of the most important topics to be learned in Applied Linear and Computational Mathematics. We will try...