The following distinguished researchers have accepted invitations to deliver plenary lectures at the conference:

• Raymond Chan, Chinese University of Hong Kong
• Paul Constantine, University of Colorado, Boulder
• Alistair Forbes, National Physical Laboratory
• Vivette Girault, Université Pierre et Marie Curie - Paris VI
• Des Higham, University of Strathclyde
• Natalia Kopteva, University of Limerick
• Gunilla Kreiss, Uppsala University
• Frances Kuo, University of New South Wales
• Ulrich Rüde, FAU Erlangen-Nürnberg
• Carola-Bibiane Schönlieb, University of Cambridge
• Holger Wendland, Universität Bayreuth
• Margaret Wright, Courant Institute

The conference will begin at 9am on Tuesday 25th June and finish with lunch on Friday 28th June. 

A number of minisymposia will be scheduled during the parallel sessions. Each minisymposium should consist of a multiple of three 20 minute talks.

If you are interested in organising a minisymposium, in any branch of Numerical Analysis or a cognate area, please contact the conference committee.

• Please supply the title of your proposed minisymposium along with a brief abstract and a tentative list of speakers.
• Please note that individuals are limited to one presentation, either a minisymposium talk or a contributed talk.
• Organisers are encouraged to ensure that the speakers represent a broad spectrum of research experience.
• Authors will advised of acceptance of proposals by email shortly after submission.
• The deadline for submission of minisymposium topics is 31st March 2019.
• Abstracts from contributors should be submitted by April 30th 2019.

Preconditioning and iterative methods for differential equations

Organisers: John Pearson (Edinburgh) and Jennifer Pestana (Strathclyde)
List of speakers: Niall Bootland (Strathclyde), Daniel Loghin (Birmingham), Mariarosa Mazza (Insubria), John Pearson (Edinburgh), Jennifer Pestana (Strathclyde), Alison Ramage (Strathclyde), Ekkehard Sachs (Trier), Andy Wathen (Oxford) 

Abstract: The numerical solution of problems involving differential or integro-differential equations is a mainstay of numerical analysis. As is well known, many numerical methods for these problems involve linear solves, which can dominate the computational cost. Accordingly, tailored and efficient iterative methods are required. This minisymposium will explore effective iterative methods and preconditioners for problems involving partial differential equations, fractional differential equations and partial integro-differential equations.

Fractional-derivative problems

Organisers: Martin Stynes (Beijing CSRC) and Yubin Yan (Chester)
List of speakers: Hu Chen (Beijing CSRC), Mihaly Kovacs (Chalmers U), Buyang Li (Hong Kong Polytechnic), Martin Stynes (Beijing CSRC), Jilu Wang (Beijing CSRC), Yubin Yan (Chester), Ye Hu (Chester), Chaobao Huang (Beijing CSRC), Xiangyun Meng (Beijing CSRC)

Abstract: In recent years there has been an explosion in the number of published papers dealing with numerical methods for fractional-derivative problems, but the rigorous analysis of such methods has many open questions. This mini-symposium brings together several fractional-derivative experts to present and discuss recent developments in this fast-changing area.

Recent Advances in the Numerical Solution of Inverse Problems in Imaging

Organiser: Silvia Gazzola (Bath)
List of speakers: Ferdia Sherry (Cambridge), Malena Sabaté Landman (Bath), Joab Winkler (Sheffield)

Abstract: Inverse problems arise every time one wants to recover the cause of an observed effect: in particular, inverse problems are ubiquitous in many imaging applications, such as tomography (for medicine and industry) and image deblurring (in astronomy and biology). Since inverse
problems are usually ill-posed, they are difficult to solve, and problem-specific techniques must be carefully devised. Moreover, multi-dimensional solutions (such as images) naturally lead to discretised large-scale problems. In recent years, a considerable amount of research has proposed
alternative, improved, reliable, and efficient approaches to the numerical solution of large-scale inverse problems. The goal of this minisymposium is to present new state-of-the art solvers, with a particular focus on techniques that exploit innovative numerical linear algebra and optimisation tools.

Trends in numerical methods for partial differential equations

Organisers: A.M. Portillo (Valladolid), M.J. Moreta (Complutense), N. Reguera (Burgos)
List of speakers: A.M. Portillo (Valladolid), V. Gordin (National Research University Higher School of Economics, Moscow), M.J. Moreta (Complutense), H. Herrero (Castilla La Mancha), F. Pla (Castilla La Mancha), N. Reguera (Burgos)

Abstract: Partial Differential Equations (PDEs) are involved in the modeling of many problems in Sciences and Engineering. It is well known that, in most cases, it is impossible or very difficult to obtain analytic solutions of PDEs. For this reason, in this mini-symposium we address some numerical methods to approximate PDEs solutions and we analyze several important questions of recent interest concerning the numerical integration of PDEs. In particular, the talks focus on, but not limited to, how to avoid the order reduction phenomenon, the advantages of using transparent boundary conditions, near energy conserving numerical schemes and the Rayleigh-Bénard problem.
Moreover, the aim of this session is to provide an opportunity for researchers to discuss recent progress in the field.

All attendees are invited to submit an abstract for a talk to be delivered during a parallel session. Please note that individuals are limited to one presentation, either a minisymposium talk or a contributed talk.

Abstracts can be submitted via the registration page for approval by the organising committee and will normally be reviewed within one week. The deadline for submitting abtracts is April 30th 2019.

Talks are fifteen minutes long with an additional five minutes for questions/discussion.

When submitting an abstract please use this template (1k, tex).