Transport peak in thermal spectral function of ${\cal N}=4$
supersymmetric Yang-Mills plasma at intermediate coupling
 Casalderrey-Solana, J Grozdanov, S Starinets, A Physical Review Letters (09 Nov 2018) http://arxiv.org/abs/1806.10997v2
Impact of solar panels and cooling devices on frequency control after a generation loss incident
 Peruffo, A Guiu, E Panciatici, P Abate, A 2018 IEEE Conference on Decision and Control (CDC) 5904-5909 (21 Jan 2019)
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications
 Caron, F Ristic, B Duflos, E Vanheeghe, P International Journal of Approximate Reasoning volume 48 issue 2 419-436 (Jun 2008)
Particle Filtering for Multisensor Data Fusion with Switching Observation Models: Application to Land Vehicle Positioning
 Caron, F Davy, M Duflos, E Vanheeghe, P IEEE Transactions on Signal Processing volume 55 issue 6 2703-2719 (01 Jun 2007)
Locating sensor nodes on construction projects
 Caron, F Razavi, S Song, J Vanheeghe, P Duflos, E Caldas, C Haas, C Autonomous Robots volume 22 issue 3 255-263 (05 Apr 2007)
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects
 Caron, F Duflos, E Pomorski, D Vanheeghe, P Information Fusion volume 7 issue 2 221-230 (Jun 2006)
Tue, 30 Oct 2018

12:45 - 13:30
C5

Riding through glue: the aerodynamics of performance cycling

Alex Bradley
(Dept of Mathematical Sciences)
Abstract

As a rule of thumb, the dominant resistive force on a cyclist riding along a flat road at a speed above 10mph is aerodynamic drag; at higher speeds, this drag becomes even more influential because of its non-linear dependence on speed. Reducing drag, therefore, is of critical importance in bicycle racing, where winning margins are frequently less than a tyre's width (over a 200+km race!). I shall discuss a mathematical model of aerodynamic drag in cycling, present mathematical reasoning behind some of the decisions made by racing cyclists when attempting to minimise it, and touch upon some of the many methods of aerodynamic drag assessment.

Sequential Dirichlet process mixtures of multivariate skew t-distributions for model-based clustering of flow cytometry data
 Hejblum, B Alkhassim, C Gottardo, R Caron, F Thiebaut, R Annals of Applied Statistics volume 13 issue 1 638-660 (10 Apr 2019)
Wed, 24 Oct 2018
11:00
N3.12

Logic in practise

Victor Lisinski
(University of Oxford)
Abstract

In this talk we will introduce quantifier elimination and give various examples of theories with this property. We will see some very useful applications of quantifier elimination to algebra and geometry that will hopefully convince you how practical this property is to other areas of mathematics.

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