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Check out our calendar of events and participate in our workshops, conferences, talks and more.
MSI Colloquium 2019: On the role of applied mathematics and computer science in fusion research »
In this talk, Prof Frank Jenko will discuss the history of integer multiplication, and give an overview of the new algorithm.
Special year 2019: Computational Mathematics: Mini-course/workshop on the application of computational mathematics to plasma physics »
This event aims to promote communications between computational mathematicians and plasma physicists, to seek solutions to the long-standing difficulties in computational plasma physics, and identify applications for newly developed algorithms and computational techniques.
MSI Colloquium 2019: Can constructing “chaotic coordinates” help to understand transport in Non-Integrable Dynamical Systems? »
In this talk, Dr Stuart Hudson will show that isotherms of the anisotropic diffusion equation coincide with ghost surfaces.
Special year 2019: Computational Mathematics: Women in computational topology »
Workshop for Women in Computational Topology (WinCompTop) 2 is designed for women and gender diverse people at all career stages in mathematics, statistics, computer science, and application areas of computational topology.
Special year 2019: Computational Mathematics: One-day workshop - Computational topology »
The primary goal of the workshop is to facilitate the formation of new and lasting research collaborations between junior and senior researchers working in the field of computational topology.
Workshop on Monge-Ampere equations: in celebration of Professor John Urbas’s 60th birthday »
The aim of this workshop is to bring together international leading mathematicians and provide participants an opportunity to exchange ideas and foster/enhance collaborations.
Special year 2019: Computational Mathematics: Challenges in high performance computing »
The focus of this interdisciplinary workshop is on bringing together techniques that are at the forefront of mathematics and computer science for solving large scale problems motivated by applications on high performance computers.
