Past Events

Demonstrations of fun methods to teach math and computer science concepts to students in Grades 9 and 10 who participated in the PIMS/CMS Surrey Math Camp.

Two G-spaces X and Y are said to be hG-equivalent if their Borel constructions are equivalent over BG. In this talk we introduce an obstruction which determines when a G-sphere X is hG-equivalent to a finite G-sphere Y, at a prime p dividing the...

A Bayesian network is a compact and intuitive graphical representation of the joint probability distribution. Belief update in a Bayesian network is the task of computing posterior probability distributions of unobserved variables given a set of...

Geodynamic flows, such as the convection within the Earth's mantle, are characterized by the extremely viscous nature of the flow, as well as the dependence of the viscosity on temperature. As such, a PDE-based approach, coupling the (stationary)...

The branched transport problem is the minimization of a concave functional on vecror measures with prescribed divergence. The only admissible measures are those concentrated on 1-rectifiable sets and the energy is the integral of a power $\theta^...

Mini-courses The Radon transform and the X-Ray Transform ( Gunther Uhlmann, Peter Kuchment). This course will describe in detail the essential properties of these transforms including inversion formulas. The X-ray transform is one of the basic...

The aim of this workshop is to help engage the next generation of mathematicians in the internationalization of science for the enhancement of scientific training. The workshop is part of a long term goal to increase collaboration and scientific...

The focus of the conference will be on applications of Kasparov's theory, non-commutative topology, index theory, representation theory, C*-dynamical systems from number theory, symmetries and equilibrium.

In this talk, we'll use classic definitions from calculus of real variables to motivate what it means to be a polynomial functor of degree n, the construction of the derivative of a functor and the basics of the `Taylor Series' of a functor as well...

It is a well-known property of Monte Carlo methods that quadrupling the sample size halves the error. In the case of simulations of a stochastic partial differential equations, this implies that the total work is the sample size times the...