Events

This conference is organized mainly for school students with students making presentations in maths and science. Teachers and researchers offer workshops addressed mainly to students or to fellow teachers. 10 competitions for school students of age 9-18 are organized during the conference, including MATHFactor, SCIENCEFactor, MATHeatre, SCIENCEtheatre, MathPresentation, SCIENCEPresentation, MathPoster-Design, Science-Poster-Design and more. Contact: info@euromath.org

The development and analysis of numerical methods for PDEs whose formulation or interpretation is derived from an underlying geometry is a persistent challenge in numerical analysis. This workshop aims to foster new interactions and collaborations between researchers in PDEs related to geometry. The expertise of the participants will span the analysis, computational implementation, and application of these problems. This collaborative effort will facilitate the identification of key problems in the field and the development of novel discretizations that respect both the underlying geometry of the problem and the needs of current applications.

Manifolds endowed with special geometric structures are understood in terms of actions of Lie groups belonging to Berger’s celebrated list. Albeit rooted in differential geometry, these special manifolds exhibit deep relationships with complex and algebraic geometry, global analysis, theoretical physics and symplectic geometry. The meeting will therefore focus on a wide number of topics, including equations of Monge-Ampère type, special holonomy, quaternionic geometry, twistor theory, non-Kähler complex manifolds, harmonic maps, Einstein and soliton metrics, homogeneous spaces, integrable systems, gauge theory, geometric flows, and mathematical string- and M-theory.

This will be a fascinating event which will give participants the opportunity to learn about a wide range of mathematics which has excited their peers. The aim of the conference is to enable final year (and other) undergraduates to give presentations on mathematical topics of their choice. Previous conferences have seen undergraduate speakers from a wide range of universities including Aberdeen, Birkbeck University of London, Cambridge, Exeter, Glasgow, Greenwich, Imperial College London, Leeds, Liverpool, London Met, Open, Oxford, Portsmouth, Royal Holloway, Sheffield, St Andrews, University College London, Warwick and many others.

The symposium will cover the mathematics of sparsity-based methods, singular structures in PDEs and interactions between these fields. In particular, the event will feature relevant aspects of numerical analysis, analysis of PDEs, mathematical foundations of machine learning and signal processing, discrete and continuous optimization, probability theory and computational algebra. Registration is open until February 11, with the option of submitting a poster contribution.

The topics include but are not limited to Financial mathematics, stochastic models, pricing financial derivatives, commodity markets, energy markets, global energy markets, geopolitical risk, climate change, natural resources, energy transition, volatility modeling, high-frequency data analysis, machine learning prediction models, asymmetric structures, and software development with applications, complex networks, big data analytics, nonlinear time series analysis, recurrent neural networks, Stochastic calculus, and Machine Learning with applications to other sciences.

This workshop will focus on recent trends in the field of numerical methods for multiphysics problems that include the development of monolithic approaches, structure preserving discretizations, geometrically unfitted methods, data-driven techniques, and modern algebraic methods for the resulting linear and nonlinear discrete systems. The topics of interest include models and discretizations for fluid - elastic structure interaction, non-Newtonian fluids, phase field models for fluid mixtures, bulk-surface coupled problems, and biological flows. The workshop will also address emerging topics in scientific computing such as randomized algorithms, tensor methods, and structured numerical linear algebra methods, with the goal to better understand advances they offer for multiphysics problems.

20th winter school in Dynamical Systems of the DANCE (Dinámica, Atractores y Nolinealidad: Caos y Estabilidad) Spanish network. COURSES: James Meiss (University of Colorado), "Symplectic maps and Transport". Han Peters (University of Amsterdam), "Entropy of complex dynamical systems". Tere M. Seara (Universitat Politècnica de Catalunya), "Invariant manifolds, their breakdown in near integrable systems through singular perturbation theory. Examples and techniques".

The 28th International Conference on Domain Decomposition Methods (DD28), a.k.a. the KAUST Research Conference on Divide, Conquer and Combine Methods in Large-scale Simulation and Analytics, will be held at the King Abdullah University of Science and Technology, on the Red Sea in Saudi Arabia, from 28 January to 1 February 2024. Targeted participants are mathematicians, computer scientists, and computational scientists and engineers interested in massively parallel computational modeling, simulation, analytics, and learning. The international conferences on domain decomposition methods were originated by the late Roland Glowinski in January 1987 and the previous 27 such meetings are archived with their proceedings at ddm.org. The meeting has evolved beyond its early PDE centricity to large-scale scientific computing generally, with the same emphases on optimal bases, optimal convergence rates with respect to problem size, and optimal parallel scalability. For more and developing information, please visit the conference website at http://dd28.kaust.edu.sa.

This is a hands‐on workshop and will introduce delegates to the freely available, open‐source and general‐purpose programming language Python ‐ which is one of the most popular programming languages in the world. Python will be used to enhance the teaching and learning of Mathematics at A‐Level and beyond. Delegates need no prior knowledge of programming to benefit from this workshop. Feedback from 2023 Workshops “Really enjoyed the session. Definitely inspired me to get into doing some Python programming (never used it before although used other languages) and applying this to mathematics problems” “A thoroughly informative and enjoyable course!” “Really good workshop; would love a follow-up workshop to increase the level of challenge.” “Stephen was very clear and knowledgeable” “Looking forward to the TensorFlow workshop in June.” “Thank you very much to Stephen and IMA for organising”