Simon Fraser University

The phrase "non-problems" in the title refers to a collection of adjectives that start with the prefix "non". These include "non-convex", "non-differentiable", "non-traditional", "non-trivial", and "non-stochastic gradient" (as a counter to a topical...

The Fq conference is a biannual conference that covers various topics in finite fields including but not limited to: Theory: structure of finite fields, primitive elements, normal bases, polynomials, number-theoretic aspects of finite fields...

The CanaDAM conference will bring together researchers from the various disciplines with which discrete and algorithmic mathematics interact. Particular areas of interest are the following: graphs and digraphs, hypergraphs, matroids, ordered sets...

A wide overview of mathematical techniques of interest in various big data problems. Organizers: Cedric Chauve, Mathematics - SFU Tamon Stephen, Mathematics - SFU

Einsteins theory of General Relativity (GR) works remarkably well on Earth and inside our Solar System. However, there remain significant gaps in our understanding of gravity. One is the long- standing quest for a quantum theory of gravity. The other...

An intriguing application of Deep Learning research is the use of Deep Convolutional Neural Networks (DCNNs) for image processing, as seen for example in the Prisma app and the Deep Dream algorithm. At SFU SIAT's iVizLab, we are using DCNNs within...

Functions appearing in many applications, for example as the solution of an integral or differential equation, are usually discretized and approximated in a basis. Each function in a certain space can be uniquely represented in that basis...

In the simulation of complex physics, multiple model forms of varying fidelity and resolution are commonly available. In computational fluid dynamics, for example, common model fidelities include potential flow, inviscid Euler, Reynolds-averaged...

In this talk, we present a compressed sensing approach to sparse polynomial approximation via convex and non-convex optimization of functions in high dimensions. Of particular interest is the parameterized PDE setting, where the target function is...

Spherical harmonics are the natural basis for square integrable functions on the sphere in the sense of Lebesgue. However, their analytic structure makes them formidable to work with numerically. In this talk, we will present rapid transformations...