Simon Fraser University

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...

Introduction to the block element method, a new mathematical method based on high-level mathematics. The method is applicable to boundary value problems for partial differential equations and their systems. The method includes a number of other...

Concentration waves of swimming bacteria Escherichia coli were described in his seminal paper by Adler (Science 1966). These experiments gave rise to intensive PDE modelling and analysis, after the original model by Keller and Segel (J. Theor. Biol...

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...

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...

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...

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 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...

Talk details are available on the SFU DM site here.