A pale imitation of its former glories, MTV will no doubt claim a large chapter in music  history. At its peak in the 90s and early 00s, you got the impression that writing a song was an excuse for making a video. 

Some songs, such as this one, are perhaps better known for the video than the song itself. Which would be a shame as this is one of Blur's best as Graham Coxon's lyrics chart his recovery from alcoholism and how, after giving up drinking, he would relax by watching television, drinking coffee and writing songs.

Wed, 13 May 2026

11:00 - 13:00
L4

TBA

Abdulwahab Mohamed
(Max Planck Institute)
Abstract

TBA

Thu, 18 Jun 2026

16:00 - 17:00
L5

TBA

adam Jones
((Mathematical Institute University of Oxford))
Abstract

TBA

Thu, 11 Jun 2026
12:00
Lecture Room 4, Mathematical Institute

TBA

Katherine Pearce
(University of Texas at Austin)
Abstract

TBA

Thu, 04 Jun 2026
12:00
Lecture Room 4, Mathematical Institute

TBA

Lorenzo Lazzarino
((Mathematical Institute University of Oxford))
Abstract

TBA

Thu, 14 May 2026
12:00
Lecture Room 4, Mathematical Institute

TBA

Daniel Cortild
((Mathematical Institute University of Oxford))
Abstract

TBA

Thu, 07 May 2026
12:00
Lecture Room 4, Mathematical Institute

TBA

Jung Eun Huh
((Mathematical Institute University of Oxford))
Abstract

TBA

Thu, 30 Apr 2026
12:00
Lecture Room 4, Mathematical Institute

Structure-preserving finite elements and the convergence of augmented Lagrangian methods

Charles Parker II
(U.S Naval Research Lab)
Abstract

Problems with physical constraints, such as the incompressibility constraint for mass conservation in fluids or Gauss's laws for electric and magnetic fields, result in generalized saddle point systems. So-called structure-preserving finite elements respect the constraints pointwise, resulting in more physically accurate solutions that are typically robust with respect to some problem parameters. However, constructing these finite elements may involve complicated spaces for the Lagrange multiplier variables. Augmented Lagrangian methods (ALMs) provide one process to compute the solution without the need for an explicit basis for the Lagrange multiplier space. In this talk, we present new convergence estimates for a standard ALM method, sometimes called the iterated penalty method, applied to structure-preserving discretizations of linear saddle point systems.

We are making a series of films about maths in different langugaes and need an Arabic speaker. All it requires is translating a few mathematical terms and saying a few things about learning maths in a language other than English.

However, whatever your first language (ex English) we'd like to hear from you. If you want to take part, please email @email

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