Conferences  >  Mathematics  >  Numerical Analysis and Computational Mathematics

Design, analysis, and implementation of geometric algorithms and data structures; Computational complexity of geometric problems; Implementation and experimental evaluation of geometric algorithms and heuristics, including mathematical, numerical, and algebraic aspects; Discrete and combinatorial geometry; Computational topology, topological data analysis, and topological combinatorics; Applications of computational geometry in any field.

Graph Theory and Combinatorics,    Geometry and Topology

Sorbonne Université

The conference in Paris will be the ninth conference of the Society, following the meeting that gave birth to the idea of FoCM in Park City (1995), and 8 very successful meetings in Rio de Janeiro (1997), Oxford (1999), Minneapolis (2002), Santander (2005), Hong Kong (2008), Budapest (2011), Montevideo (2014) and Barcelona (2017). The conference in Vancouver planned for 2020 was cancelled due to the Covid-19 pandemic. Each of the previous conferences had several hundred participants from all branches of mathematics that impinge on computation in the broadest sense. FoCM conferences are usually organized as follows: mornings are devoted to plenary talks and afternoons to the workshops, which are run in parallel. The conference is divided in three periods of three days, and each workshop is held during one of these periods. The spirit of FoCM is that participants are encouraged to come to the whole duration of the conference, and attend talks in different workshops. Poster sessions are also organized by each workshop.

Email: info@focm2023.org

ICERM

In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research. As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.

Program Staff;     Phone: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Scientific Computing and Data Science,    Applied Mathematics (in general)

Centre for Discrete Mathematics, UL PeF (University of Ljubljana, Faculty of Education)

ICERM

The mathematical and computational toolbox for modern experimental and engineering problems has become more diverse than ever before, with a flurry of new challenges in inverse problems and successful practical solutions that present further theoretical questions. In the spirit of the 2012 “Challenges in Geometry, Analysis, and Computation: High-Dimensional Synthesis” workshop at Yale, the “Modern Applied and Computational Analysis” workshop will be a celebration of different perspectives on inverse problems, models, inference, and harmonic analysis and a debate about the challenges and opportunities in the next decade of applied analysis. The topics include inverse problems, randomized linear algebra, machine learning in applied analysis, and tensor networks.

Program Staff;     Phone: [1-401-863-5030];     Email: info@icerm.brown.edu

National and Kapodistrian University of Athens (NKUA) and Littoral Côte d’Opale (ULCO) University in France.

The aim of this conference is to bring together researchers working in numerical analysis, scientific computation and applications. Participants will present and discuss their latest results in this area.

LMPA, ULCO, 50 rue F. Buisson, Calais France;     Phone: [0626622981];     Email: jbilou@univ-littoral.fr

Numerical and Multilinear Algebra, Maching Learning, Optimization, Numerical Methods and Analysis of PDEs, Approximation, Domain Decomposition methods, Inverse and Ill-posed problems for image processing, Computational Statistics.

Applied Mathematics (in general),    Scientific Computing and Data Science

ICERM

This will be a one-week conference broadly focused on the topics of the LMFDB, mathematical databases, computation, number theory, and arithmetic geometry. The conference will include invited talks, presentations by authors of papers submitted to the conference and selected by the scientific committee following peer-review, as well as time set aside for research and collaboration. This workshop is an activity of the Simons Collaboration 'Arithmetic Geometry, Number Theory, and Computation' and is supported by the Simons Foundation.

Program Staff;     Phone: [1-401-863-5030];     Email: info@icerm.brown.edu

Number Theory, Arithmetic,    Geometry and Topology

MIT, Cambridge, MA

This conference is in celebration of Alan Edelman's 60th birthday. Alan is well-known for his contributions across many fields in mathematics, computational science and computer science. In this conference, we are trying to cover the many areas of random matrix theory, numerical linear algebra, and scientific computing that have been enriched by Alan's contributions, which often bring into sharp focus how a nice computational "trick" often offers a nice theoretical insight, in reverse from the usual direction.

AMMCS-2023 is a major international forum and interdisciplinary conference focused on mathematical and computational sciences, with their applications to modeling natural, social, and engineering systems.

The conference provides a unique opportunity for in-depth technical discussions and exchange of ideas in all areas involving mathematical and computational sciences, modeling and simulation, as well as their applications in natural and social sciences, engineering and technology, industry and finance. It offers to researchers, industrialists, engineers and students to present their latest research, to interact with the experts in the field, and to foster interdisciplinary collaborations required to meet the challenges of modern science, technology, and society.

Registration and paper submission: https://conference-service.com/ammcs2023/

The Third Conference of Young Applied Mathematicians in Siena is organized by PhD students and postdocs from University of Pavia, University of Siena, and University of Bath in the topics of Applied Mathematics. In particular, the conference targets Master's students, PhD students, and postdocs interested in the fields of Numerical Modelling, Numerical Analysis, Machine Learning and Statistics.

Modeling and Simulation,    Complex Networks

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

Recursion theory measures the complexity of mathematical objects in terms of what is computable, in other words, what can be determined by a computer with no space or time limitations. We can define, for example, computable sets of natural numbers, computable (continuous) functions on the real numbers, or computably enumerable open subsets of the reals. Adding an oracle---an outside source of information---allows us to extend the reach of recursion theory beyond the computable. For example, every continuous function on the real numbers is a computable function relative to some oracle. For another example, a set of real numbers has Hausdorff dimension zero if and only if there is an oracle relative to which every real in the set can be significantly compressed. In this way, recursion theory offers a fine-grained way to analyze some of the most central notions in mathematics. This has recently led to deep applications to analysis, number theory, and set theory. The focus of this workshop is on understanding and extending these applications of recursion theory.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Analysis,    Calculus, Differential Equations and Integration

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Courses and Events for Math Students and Early Career Researchers,    Geometry and Topology

Hausdorff Research Institute for Mathematics (HIM)