The Department of Mathematics and Statistics at the University of Strathclyde are proud to host the 28th edition of the Biennial Numerical Analysis Conference from 25th to 28th June 2019.

The following prestigous speakers will deliver plenary lectures:

• Raymond Chan, Chinese University of Hong Kong
• Paul Constantine, UC Boulder
• Alistair Forbes, NPL
• Vivette Girault, Paris VI
• Des Higham, Strathclyde
• Natalia Kopteva, Limerick
• Gunilla Kreiss, Uppsala
• Frances Kuo, New South Wales
• Ulrich Ruede, Erlangen-Nuremberg
• Carola-Bibiane Schoenlieb, Cambridge
• Holger Wendland, Bayreuth
• Margaret Wright, Courant Institute

The A R Mitchell lecture will be given by Des Higham and the Fletcher-Powell lecture by Margaret Wright.

The 2019 IMA Leslie Fox Prize meeting will take place at Strathclyde University on Monday June 24th, the day before the Biennial conference starts. The Leslie Fox Prize competition is for young rising stars of Numerical Analysis and has since 1985 been won by many at the top of our field today. If you'd like to attend then you can inform us when you register for the main meeting. There is there is no charge for attendance at the Leslie Fox Prize meeting.

More details on the meeting can be found here.

The John Anderson campus is about a 20 minute drive from Glasgow airport, although during the rush hour it can take considerably longer.

There is a frequent bus service (the Glasgow Shuttle) from the airport to Buchanan Street Bus Station (see campus map), from where the campus is a 10 minute walk: the bus ride is usually almost as quick as taking a taxi. A single ticket currently costs £8 and an open return £13.50. Tickets can be purchased online, or on the bus.

Discounted taxi fares are available for delegates for journeys between Glasgow Airport and the City Centre with Glasgow Taxis: pre-book your taxi by phoning +44 (0) 141 429 7070 and use the code GCB 1 (Glasgow Airport to City Centre) or GCB 2 (City Centre to Glasgow Airport) to get a set fare per journey  (£18 from the airport, £22 from the city).

Both Central and Queen Street Railway Stations are within 10/15 minutes walking distance of the campus, or alternatively a short taxi journey (c. 5 minutes).

If you are arriving by taxi, ask the driver to drop you on Collins Street (off Cathedral Street) and walk to the Village Office (for accommodation) or the John Anderson Building (to register) from there.

Accommodation is in study bedrooms in the Campus Village.

On arrival, keys should be collected from the Village Office (Weaver Street, Glasgow G4 0NP, tel. 0141 548 2434). The office is open 24 hours a day.

Check in time is from 14:00 on day of arrival; check out time is 10:00 on day of departure.

Please note that there may not be internet access in the accommodation blocks.

There is a television in the communal lounge area in each block and there is a coin-operated laundry facility located next to the Village Office.

Breakfast and dinner (Tues, Wed) will be served in the Lord Todd building. Please note that breakfast on Monday 24th will be served in the Technology and Innovation Centre on George Street.

A buffet lunch will be served in the Urban Bean Java cafe (Tues-Thur)  and in the foyer outside JA325 (Fri).

Breakfast is served from 07:00-09:00 each day, lunch and dinner times will be provided in the conference programme.

Tea breaks will be held outside JA325.

The conference dinner on Thursday evening will be held in the Trades Hall of Glasgow, 85 Glassford St, Glasgow G1 1UH.

Note that dinner is not provided on Monday evening, but there are many bars and restaurants a short walk from the campus.

The registration desk will be located in the lobby of the John Anderson building (enter on Level 4).

The registration desk will be open on Monday 24th June from 17:00-20:00.

The registration desk will also be open each morning from 08:30-09:00.

Outwith these hours, registration can be completed by contacting one of the conference organisers during tea breaks.

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

The programme can be found here (updated 21st June). Abstracts are here.

Complimentary WiFi is available throughout the campus from the 'WifiGuest' network, which should appear on the list of available networks on your portable device. This network uses the same authentication system as 'The Cloud' network found in public places across the UK. You can log in to 'WifiGuest' using existing 'The Cloud' credentials, or set up a new account which you can then use wherever 'The Cloud' is available.

More comprehensive internet access will be available to eduroam users.

Computer terminals will be available from 09:00-17:00 Tuesday-Thursday in room JA512 of the John Anderson Building.

Lying just south of the campus, the Merchant City area offers a wide range of coffee shops, restaurants and bars.

For pubs, we particularly recommend Babbity Bowster (Blackfriars Street), Blackfriars (Albion Street) and the Drygate brewery (Drygate).

There is also a bar in the Lord Todd building next to the dining room.

All meeting rooms will be equipped with laptops.

Speakers should come prepared to load their talk onto the conference laptop at the beginning of their allocated session.

Alternatively, talks can be emailed to the organisers (naconf@strath.ac.uk) in advance (in PDF or Powerpoint format).

Any speaker requiring any additional equipment should contact the organisers as soon as possible.

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 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).

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), Santolo Leveque (Edinburgh), Daniel Loghin (Birmingham), Mariarosa Mazza (Insubria), John Pearson (Edinburgh), Alison Ramage (Strathclyde), Ekkehard Sachs (Trier), Jakub Stocek (Heriot-Watt), 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), Kirk Soodhalter (Trinity College, Dublin), Chen Zhang (UCL), Anis Theljani (Liverpool)

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), J. C. Jorge (Public University of Navarra), 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.

Spectral Methods

Organisers: Sheehan Olver (Imperial), Alex Townsend (Cornell), Marcus Webb (KU Leuven)
List of speakers: Marcus Webb (KU Leuven), Sheehan Olver (Imperial), Timon Gutleb (Imperial), Alex Townsend (Cornell), Dan Fortunato (Cornell), Andrew Horning (Cornell), Matt Colbrook (Cambridge), Nick Trefethen (Oxford), Abi Gopal (Oxford)

Abstract: Spectral methods are a class of numerical techniques used to solve differential and integral equations by expressing the solution as an expansion in a global basis such as trigonometric or orthogonal polynomials. The speakers in this minisymposium will present recent developments in fast transforms, infinite-dimensional linear algebra, multivariate orthogonal polynomials, non-local problems, rational approximation and domain decomposition methods that are allowing spectral methods to tackle problems previously viewed as outside their reach.

Numerical Methods for Partial Differential Equations in Unbounded Domains

Organisers: Buyang Li (HKPU), Chunxiong Zheng (Tsinghua)
List of speakers: Lehel Banjai (Heriot-Watt), Silvia Falletta (Politecnico di Torino), Thomas Hagstrom (Southern Methodist), Wangtao Lu (Zhejiang), Yohanes Tjandrawidjaja (ENSTA Paris Tech), Liwei Xu (UESTC), Huanhuan Yang (Shantou), Chunxiong Zheng (Tsinghua)

Abstract: Wave propagation appears in many physics, engineering and military applications. The study of wave propagation often requires solving partial differential equations in unbounded domains, on which the computational cost is very large. Various techniques have been developed to reduce the computation to a boundary domain, including artificial boundary conditions, boundary integral equations, and perfectly matched layers. This mini-symposium aims at bringing both leading experts and young researchers working on these problems, to discuss the latest results and to exchange new ideas, approaches, possible applications and emerging computational techniques.

Computational methods for model-driven optimization and control under uncertainty

Organisers: Dante Kalise (Imperial College), Mattia Zanella (Politecnico di Torino)
List of speakers: Bertram Duering (Sussex), Adriano Festa (L’Aquila), Stephan Gerster (RWTH Aachen), Susana Gomes (Warwick), Dante Kalise (Imperial College), Andrea Tosin (Politecnico di Torino), Michael Tretyakov (Nottingham), Urbain Vaes (Imperial College), Mattia Zanella (Politecnico di Torino)

Abstract: Model-driven optimization and control is at the core of a myriad of modern scientific and societal challenges including the control and estimation of collective behaviour phenomena, the design of protocols for autonomous vehicles, and the study of data transmission over communication networks, to name a few. Furthermore, in an applicative framework a fundamental step to study real problems is represented by the introduction of stochastic parameters reflecting the natural lack of information due to a wide range of phenomena spanning form possible external actions to behavioral forces. Therefore, the quantification of the influence of uncertainties is of paramount importance to build more realistic models and to design efficient automation strategies. This minisymposium addresses the analysis of novel computational techniques for robust control synthesis in the presence of parametric and structural uncertainties. It aims at promoting interactions between researchers working on computational methods for Hamilton-Jacobi and Fokker-Planck type equations, multiscale interacting particle systems and kinetic equations, PDE-constrained optimization, and applications in collective dynamics.

Finite element methods for Navier-Stokes equations: theory and algorithms

Organisers: Gabriel Barrenechea (Strathclyde), Julia Novo (Madrid)
List of speakers: Alejandro Allendes (USM, Valparaiso), Rodolfo Araya (Concepcion), Gabriel Barrenechea (Strathclyde), Malte Braack (Kiel), Marco Discacciati (Loughborough), Bosco Garcia-Archilla (Sevilla), Emmanuil Georgoulis (Leicester), Maria Gonzalez-Taboada (La Coruna), Julia Novo (Madrid), Samuele Rubino (Sevilla), Gunar Matthies (Dresden), David Silvester (Manchester)

Abstract: We discuss recent advances in the numerical approximation of problems in fluid mechanics. The emphasis will be on finite element methods for Stokes and Navier-Stokes equations, but contributions in related areas such as discontinuous Galerkin, virtual elements or finite volume methods will also be welcome. In addition, contributions related to adaptive methods for one (or several of) the above topics will also be welcome.

Matrix methods for Networks

Organisers: Francesca Arrigo (Strathclyde), Francesco Tudisco (Strathclyde)
List of speakers: Francesca Arrigo (Strathclyde), Mihai Cucuringu (Oxford), Gissell Estrada-Rodriguez (Heriot-Watt), Dario Fasino (Udine), Philip Knight (Strathclyde), Francesco Tudisco (Strathclyde)

Abstract: There is a strong relationship between network science and linear algebra, as complex networks can be represented and manipulated using matrices. Some popular tasks in network science, such as ranking nodes, identifying hidden structures, or classifying and labelling components in networks, can be tackled by exploiting the matrix representation of the data. In this minisymposium we sample some recent contributions that build on an algebraic representation of standard and higher-order networks to design models and algorithms to address a diverse range of network problems, including (but not limited to) core-periphery detection and centrality.

Recent Advances in Continuous Optimisation

Organisers: Nick Gould (Oxford), Lindon Roberts (Oxford)
List of speakers: Derek Driggs (Cambridge), Jaroslav Fowkes (Oxford), Jonathan Grant-Peters (Oxford), Julian Hall (Edinburgh), Michal Kocvara (Birmingham), Lisa Kreusser (Cambridge), Erlend Riis (Cambridge), Lindon Roberts (Oxford), Adilet Otemissov (Oxford), Giuseppe Ughi (Oxford), Zhen Shao (Oxford), Ivet Galabova (Edinburgh)

Abstract: Optimisation problems over continuous variables are ubiquitous across quantitative disciplines, and the development of efficient numerical methods to solve such problems is an important topic in numerical analysis. This minisymposium will present recent work on a diverse array of continuous optimisation problems, including linear and nonlinear programming, and global and stochastic optimisation.

Rational Approximation

Organisers: Evan Gawlik (Hawaii at Manoa), Yuji Nakatsukasa (Oxford)
List of speakers: Igor Pontes Duff (ISAE/Onera), Evan Gawlik (Hawaii at Manoa), Yuji Nakatsukasa (Oxford)

Abstract: The theoretical and algorithmic aspects of rational approximation have experienced a surge of interest in recent years, motivated in part by applications of rational approximation in numerical linear algebra. This minisymposium aims to bring together researchers working on these diverse aspects of rational approximation. Topics of interest include the role of rational functions—in particular composite rational functions—in matrix factorization algorithms, model order reduction, and spectral theory; algorithms for rational interpolation and best/near-best approximation; and analysis of rational approximants.

Probabilistic numerical computation and high-dimensional data analysis

Organiser: Ivan Tyukin (Leicester)
List of speakers: Mark Girolami (Cambridge), Jeremy Levesley (Leicester), Ivan Tyukin (Leicester)

Abstract: The mini-symposium focuses of the fundamental challenges of understanding uncertainties in numerical analysis. Addressing these challenges requires synergies across mathematical disciplines including statistical sciences as well as traditional numerical analysis. The mini-symposium aims at presenting possible approaches to form this synergy by discussing, motivating, and highlighting approaches enabling the coherent propagation of probability measures through the numerical computation and inference. Recognizing a potential possibility of statistical view on the data employed in numerical schemes gives rise to a new understanding of the notion of dimensionality and important properties it entails, in particular in the case when dimension of the vector space to which the original data belongs is high. Revealed intra-disciplinary connections between traditional and more recent approaches in numerical analysis enables linking of vast relevant accumulated expertise in numerical analysis to the vibrant community of Machine Learning and Artificial Intelligence.

Hierarchical methods in stochastic numerical approximations

Organiser: Abdul-Lateef Haji-Ali (Heriot-Watt)
List of speakers: Mike Giles (Oxford), Kody Law (Manchester), Joakim Beck (KAUST)

Abstract: Real life problems require expensive approximations and when such approximations are combined with other numerical methods the cost can become prohibitive. This is especially relevant in stochastic problems where samples of an approximation must be computed to explore the probability space. Hierarchical methods, lead by Multilevel Monte Carlo, have been successfully applied in many problems of this kind with excellent results. By using a combination of solutions with low to high accuracy, the underlying numerical methods, such as Monte Carlo, are accelerated by orders of magnitude. In this mini-symposium, we discuss the recent advances and analysis of these hierarchical methods and their application to new problems.

Standard package: £325

Lunches from Tuesday to Friday
Evening meals on Tuesday and Wednesday
Conference Dinner on Thursday
Refreshments throughout the conference
4 nights Bed and Breakfast accommodation Single room
Monday - Thursday

Non-resident package: £175

Lunches from Tuesday to Friday
Evening meals on Tuesday and Wednesday
Conference Dinner on Thursday
Refreshments throughout the conference
No accommodation

Additional options

£45 - Bed and breakfast on Sunday 23rd June
£45 - Bed and breakfast on Friday 28th June
£175 - Additional non-resident package for accompanying person
£55 - Conference dinner for an additional accompanying person/guest

£275 - Full registration with donation, includes donation of early bird discount to Dundee Numerical Analysis Fund. This fund is used to provide partial support for some students, and participants from countries with limited resources, to attend the meeting.

£200- Full registration, includes early bird discount of £75.

£100 - Student registration, includes early bird discount of £75.

Starting immediately after the conference finishes, we will be hosting an afternoon training course on the free Finite Element Method software package FreeFem++. This will run from 1pm to 5pm on Friday 30th June. More details can be found here.

The A R Mitchell lecture will be given by Des Higham and the Fletcher-Powell lecture by Margaret Wright.

Delegates may be interested in a related meeting taking place in Edinburgh on 1-2 July. Advances in Linear Algebra and Huge-Scale Optimization will be held at the Bayes Centre. 

More details can be found here.