Conferences  >  Mathematics  >  Numerical Analysis and Computational Mathematics

Only in very rare cases, and on very specific domains, is it possible to give closed form solutions for PDE equations, and a large part of research in numerical analysis is devoted therefore to computing approximate solutions. This requires several steps: firstly, one needs to discretize the PDEs. A first focus of our proposal is to look at a very sophisticated, new type of discretization of finite volume type: the discrete duality finite volume (DDFV) method. We will also focus on domain decomposition methods where there exist many open research questions on which the community is currently focusing: (coarse spaces, heterogeneous domain decomposition methods, domain decomposition for optimal control problems, PinT methods, etc.) Our program will feature the international PinT Conference, a research school for PhD students, workshops and research in pairs and a doctoral course. Invitations are open to tentative participants at all levels of their career.

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

Courses and Events for Math Students and Early Career Researchers,    Mathematical Physics

Banach Center

This workshop is devoted to numerical analysis of stochastic ordinary and partial differential equations (SDEs for both) - a topic in which research is currently highly active. The aim of the proposed workshop is to bring together leading experts in numerical analysis of SDEs to discuss recent results and open problems and to identify future research directions.

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

Technical University of Munich

The second international workshop on Mathematical Modeling and Scientific Computing (MMSC) dedicated to the memory of Nikolai Botkin (22.03.1956-14.09.2019) will be held from October 4th to 7th, 2022, at the Technical University of Munich. Nikolai Botkin made a significant contribution to the creation and mathematical analysis of mathematical models, the development of numerical methods and algorithms for optimal control of ordinary and distributed systems, elasticity theory, hydrodynamics, thermodynamics, and homogenization theory. The first workshop (November 19-20, 2020) was organized by the Technical University of Munich and approved by the DFG. It was held online because of Covid-19 situation.

The objective of the event is to create an interdisciplinary workshop, which brings together international experts working on mathematical models from various fields. These fields include control theory, material science, medicine, and aerospace, to name a few. Despite the different applications of mathematical models, the underlying concepts related to the modelling of complex processes and systems share many common features. The same holds for the application of scientific computing methods for the numerical implementation of the mathematical models. These methods nowadays constitute an integral part of the research task in applied fields. Topics such as parallel computing on high performance computer systems and the use of shared memory architectures are vital e.g. for the solution of partial differential equations arising in various fields. Rapidly developing technologies like machine learning methods became indispensable in data analysis. It is believed that bringing together experts from different fields will lead to new innovative ideas and create synergies between the scientific research topics.

Email: turova@ma.tum.de

Mathematical and computer modeling of physical and biological processes, Optimization, control and numerical methods for ODEs and PDEs, Computer technologies and data analysis in engineering and bioinformatics, High performance scientific computing for physical and biomedical applications

Modeling and Simulation,    Scientific Computing and Data Science

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

The Research Institute for Mathematical Sciences (RIMS)

CIRM – Centre International de Rencontres Mathématiques

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

Courses and Events for Math Students and Early Career Researchers,    Analysis

CIRM – Centre International de Rencontres Mathématiques

Cognilytica

Enterprise Data & AI is excited to host Chia-Liang Kao, CEO & Founder at InfuseAI and his presentation "The Modern Data Team as a Team Sport" on Wednesday, October 26, 2022 from 12 PM - 1 PM ET! Join this engaging and interactive session with CL Kao, CEO & Founder at InfuseAI to learn why the modern data team is the most challenging team sport of 2022 and stick around at the end for Q&A with CL!

Neural Networks and Artificial Intelligence, Machine Learning,    Information & Knowledge Management, Big Data Computing

Maplesoft

Maple in Mathematics Education and Research

This conference is dedicated to exploring different aspects of the math software Maple, including Maple's impact on education, new symbolic computation algorithms and techniques, and the wide range of Maple applications. Attendees will have the opportunity to learn about the latest research, share experiences, and interact with Maple developers. The conference will take place online and will consist of two days of live presentations from Maplesoft and the community. Presentations will be recorded and made available after the conference.

Email: info@maplesoft.com

Calculus, Differential Equations and Integration,    Education

University Constantine1: UFMC-1 / Algeria

The First International Workshop on Applied Mathematics IWAM'2022 is one of the important activities of department of mathematics in the university ''FMC 1''. Its main goal is to promote the exchange and dissemination of the latest research advances in Mathematics developed by researchers from Algeria and abroad. In this 1st edition of the IWAM'2022, lectures in different areas of Mathematics will be offered, including Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19), modelling in biology, medicine, chemistry, physics, Bioinformatics, Mathematical biology, Algebra, Numerical Analysis, Functional Analysis, Dynamics and Lie Theory, Geometry, Mathematics Education, Mechanics, Number Theory, Probability and Theory of Computation, programming languages, matrices to compiled languages. Maple, C et C++, MATLAB®, Java, JavaScript, Logiciel R, Python, R, Visual Basic, and Fortran. Statistical software (SAS, SPSS, Excel, R ). The conference provides participants with diverse perspectives on recent developments in mathematical science research. The event will be totally in the campus 'A. Hamani', UFMC 1, Department of mathematics.The objective of this event is to bring together researchers and professionals working on applied mathematics themes in order to share their experiences and results and enrich the debate.

iwam2022@gmail.com;     Phone: [00213699703088];     Email: iwam2022@gmail.com

Mathematical Biology, Mathematical Mechanics, Mathematical Modelling, Mathematical Physics, Operation Research, Applied Algebra, Applied Analysis, Applied Topology, Computer Mathematics, Control Theory, Cryptography, Decision Science, Differential Equations, MATLAB, Java, JavaScript, Logiciel R, Python, R, Numerical Analysis, Functional Analysis, Dynamics and Lie Theory, Geometry, Mathematics Education, Mechanics, Probability, Statistics, Mathematics of Finance, Exponents and Logarithms, Mathematics of Finance, Computers.

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

Watanabe's work on embedding calculus has shown us how diffeomorphisms of the 4-sphere may be studied, and Zemke's work has used the functoriality of Floer homology to derive powerful new obstructions to ribbon concordance. A common theme in these works is the emphasis on functoriality of the invariants, rather than simply computation, and a renewed interest in understanding diffeomorphism groups of a manifold rather than single isotopy groups. In this workshop, we propose to bring together experts on these interrelated topics with the aim of improving community understanding of recent developments in low-dimensional topology and promote new advances in the study of global properties of 4-manifolds.

CIRM - Jean-Morlet Chair

The theme of the conference will be explicit and computational methods in number theory and arithmetic geometry in a broad sense. The format will include scientific talks as well as time for informal collaboration and for coding projects related to (for example) PARI/GP, SageMath, Magma, OSCAR or the L-Functions and Modular Forms Database.

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

Computations with matrices, such as their multiplication, are fundamental operations that are executed on millions of devices, from smartphones to supercomputers, every day. But what is the minimum number of operations it takes to multiply two matrices? Surprisingly, the answer is currently unknown. The problem of determining the complexity, or the number of operations required to perform a certain computation, goes back to the very origins of computing. In the age of large-scale scientific computing, big data, and machine learning, understanding the complexity of computations is crucial for designing algorithms that are efficient in terms of both time and energy. There are two distinct research communities in computer science and mathematics working to answer these questions. Each community brings different perspectives and different approaches, but they rarely interact with each other to the detriment of both. To truly advance the state-of-the-art and tackle huge computational problems, cooperation and collaboration is needed. This workshop will bring together a diverse group of researchers in theoretical computer science and numerical analysis to shape the future of research on the complexity of matrix computations.

Eurandom – Workshop Centre in the area of Stochastics (Eindhoven University of Technology)

The NASPDE workshop has been hosted approximately once a year since 2007. The aim of this three-day workshop is to gather leading researchers working on various aspects of numerical methods for stochastic PDEs and/or PDEs with uncertain input, as well as their applications in science and engineering. Topics to be covered range from the analysis and implementation of numerical schemes for PDEs with uncertainty to recent developments in sampling (Monte Carlo) strategies and Bayesian inverse problems, as well as real-world applications of differential equations with randomness.

Probability and Statistics, Game Theory,    Calculus, Differential Equations and Integration

Society for Industrial and Applied Mathematics (SIAM)

Applied Mathematics (in general),    Algorithms and Data Structures

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)

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

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

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

Analysis,    Calculus, Differential Equations and Integration