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March 2022
Atlantic Canada Actuarial Student Conference
We invite all Actuarial Science students from across the Atlantic region to join us for the 2022 Atlantic Canada Actuarial Student Conference! Hosted in beautiful downtown Charlottetown, this year’s event will provide students with an opportunity to meet others from the region, gain insightful knowledge about the actuarial field from industry professionals, and provide networking opportunities through a career fair. It is a fantastic opportunity to find potential internships or full-time positions in French and English with several sponsors.
Find out more »Dalhousie-AARMS AAMP Seminar: Manuela Girotti (Saint Mary’s Uni.)
Title: Asymptotic Analysis of the Interaction Between a Soliton and a Regular Gas of Solitons (a.k.a. Gulliver and the Lilliputians) Abstract: N. Zabusky coined the word "soliton" in 1965 to describe a curious feature he and M. Kruskal observed in their numerical simulations of the initial-value problem for a simple nonlinear PDE. The first part of the talk will be a broad introduction to the theory of solitons/solitary waves and integrable PDEs (the KdV and modified KdV equation in particular),…
Find out more »AARMS Scientific Machine Learning Seminar: Scott MacLachlan (Memorial)
Optimization and Learning in the Design of Preconditioners Computer simulation algorithms are a major tool in many areas of science and industry, particularly in areas where the behaviour of fluids or complex materials governs the physical processes of interest. A typical core of these tools is the numerical approximation of the solution to coupled nonlinear systems of partial differential equations, relying on nonlinear and linear solvers, such as Newton’s method and preconditioned Krylov iterations. Among the most effective preconditioners for…
Find out more »April 2022
AARMS Scientific Machine Learning Seminar: Geoffrey McGregor (University of Northern British Columbia)
Conservative Hamiltonian Monte Carlo Markov Chain Monte Carlo (MCMC) methods enable us to extract meaningful statistics from complex distributions which frequently appear in parameter estimation, Bayesian statistics, statistical mechanics and machine learning. Similar to how flipping a coin, or rolling a dice, allows us to sample from the corresponding distributions underlying these processes, MCMC methods enable us to sample from more complex distributions. The sample statistics of the sequence generated by MCMC will converge to those of the target distribution, or…
Find out more »Atlantic Graph Theory Seminar: John Engbers (Marquette University)
Extremal questions for vertex colorings of graphs For graphs $G$ and $H$, an $H$-coloring of $G$ is a map from the vertices of $G$ to the vertices of $H$ so that an edge in $G$ is mapped to an edge in $H$. The graph $H$ can be thought of as the allowable coloring scheme: its vertices are the colors used and its edges indicating colors that can appear on the endpoints of an edge in $G$. When the graph $H$…
Find out more »AARMS Scientific Machine Learning Seminar: Michael W. Dunham (Department of Earth Sciences, Memorial University)
Semisupervised machine learning algorithms and their application to geoscience classification problems In recent years, many disciplines have been challenged with trying to efficiently extract meaning, or value, out of large datasets. Technological advances have improved data storage capabilities as well as how data can be obtained (e.g., real-time data). Manually interpreting data that are exponentially growing in volume has obvious management and analysis challenges. Machine learning is a solution to these challenges. Machine learning algorithms teach computers to recognize patterns…
Find out more »Atlantic Graph Theory Seminar: Aysel Erey (Gebze Technical University, Turkey)
Graph polynomials In this talk, I will discuss various aspects of several graph polynomials such as the location of their roots, their combinatorial properties and extremal questions. Join Zoom Meeting: link
Find out more »May 2022
CMS-UPEI-AARMS Regional Math Camp
The School of Mathematical and Computational Science (SMCS) is once again organizing the UPEI-CMS-AARMS Regional Math Camp, to be held at UPEI between May 6 – May 8, 2022. We anticipate hosting some of the most talented grade 10 and grade 11 math students from across the Island. This year, we expect to invite 25-30 students. We offer students an opportunity to participate in challenging, intellectual activities with their peers, guided by the UPEI SMCS faculty members. The students will…
Find out more »AARMS Geophysical Inverse Problems Discussion Series
Zhang et al., 2022, Geophysical inversions on unstructured meshes using non-gradient based regularization The paper above, the main one we will discuss, seeks to improve upon the method in the paper below, which increases some computational demands. We'd like to better understand how well the paper above improves upon: Lelievre et al., 2013, Gradient and smoothness regularization operators for geophysical inversion on unstructured meshes.
Find out more »Atlantic General Relativity Meeting 2022
This series of annual meetings focusses on recent advances in all aspects of classical and quantum gravity. Topics include mathematical general relativity, relativistic astrophysics, gravitational waves, cosmology, gravitational aspects of string theory, loop quantum gravity, and numerical relativity. There is particular focus on the development of graduate students and postdoctoral fellows. As in previous years, there is a two day workshop during which three invited experts (from outside the Atlantic region) give introductory lectures aimed on current topics of high…
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