Constructing conditional symmetry in a chaotic map
Moroz, I
Nonlinear Dynamics
volume 113
issue 4
3857-3868
(21 Oct 2024)
The Women in Geometry and Number Theory scheme is a deferred studentship, available to women who are considering the MSc in Mathematical Sciences in Oxford and a PhD in Geometry and Number Theory.
The Centre for Teaching and Learning’s Teaching at Oxford in 2024-25 webpage offers Oxford-specific resources to help colleagues support students in maximising their academic potential through inclusive education. The page includes guidance for assisting freshers with their transition to the University, and resources for colleagues new to teaching at Oxford this year.
Thursday 26 September, 6–8pm. Blackwell Hall, Weston Library
How do we relax? A lot of us like collecting things and enjoying our collections. They might be books, they might be records, they might be photographs, they can be anything. As a library, the Bodleian has enjoyed collecting for over 400 years and we want to foster that joy in others. Join us to have a drink and celebrate collecting and consider bringing your own collected items.
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Information for students on the MSc in Mathematics and Foundations of Computer Science.
Joint calibration of local volatility models with stochastic interest rates using semimartingale optimal transport
Joseph, B
Obloj, J
Quantitative Finance
(22 Oct 2024)
Fri, 20 Sep 2024
14:00 -
15:00
TCC VC
Finite element approximation of eigenvalue problems
Prof Danielle Boffi
(KAUST - Computer, Electrical and Mathematical Sciences and Engineering - CEMSE)
Abstract
In this informal talk I will review some theoretical and practical aspects related to the finite element approximation of eigenvalue problems arising from PDEs.
The review will cover elliptic eigenvalue problems and eigenvalue problems in mixed form, with particular emphasis on the Maxwell eigenvalue problem.
Other topics can be discussed depending on the interests of the audience, including adaptive schemes, approximation of parametric problems, reduced order models.