Konferenzen  >  Mathematik  >  Angewandte Mathematik (allgem.)

The goal of this long program proposal is to bring together senior and junior applied mathematicians, physicists, chemists, materials scientists, engineers and biologists to discuss and debate on the current status and future perspectives of modern microscopy using computation, mathematics and modeling. Cryo-EM has revolutionized biology and life science (including very recently solving the 3D atomic structure of COVID-19, which has been greatly facilitating the development of the vaccines) and aberration-corrected electron optics and high brightness X-ray sources have transformed physical science imaging. The next steps in these fields will advance by orders of magnitude the temporal resolution and energy resolution, while maintaining atomic spatial resolution, in a variety of sample environments from near zero Kelvin in vacuum to temperatures of a thousand degrees in a highly corrosive atmosphere. These advances will transform research in macromolecules, materials, energy technologie

Mikroskopie,    Wissenschaftliches Rechnen und Datenwissenschaft

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Angewandte Physik (allgemein)

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.

Numerische Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Wissenschaftliches Rechnen und Datenwissenschaft,    Informationstheorie und Grundlagen der Informatik

Department of Applied Sciences & Humanities, Pimpri Chinchwad College of Engineering, Pune

The conference will assimilate all diverse fields of Mathematics on a common platform. It provides an opportunity to have interaction with eminent mathematicians and researchers from all the areas of Pure and Applied mathematics. The three days programme of conference presents a plethora of opportunities to not only interact but also to listen to expert talks , Keynote speeches, paper presentations and panel discussions in a wide range of topics listed in the scope.

Allgemeine wissenschaftliche Mathematik und fachübergreifende Veranstaltungen,    Verbandstreffen für Mathematiker

Society for Industrial and Applied Mathematics (SIAM)

ICACGA is an international conference focused on advanced computational applications of Geometric Algebra (GA) and related hypercomplex algebras such as quaternions and octonions. The reasons for investigating hypercomplex algebras for enabling advanced computational applications and, more specifically, data-centric applications range from theoretical aspects such as the unification of many mathematical systems into one easy-to-understand mathematical framework with an intuitive exploration of geometric objects and geometric operations to computational advantages such as direct integration of GA with standard programming languages, compactness and robustness of algorithms, implicit use of parallelism, and high runtime performance.

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Simulation

Banach Center

Many applications in engineering, science, and statistics require inter- or extrapolation from data and involve systems that contain a huge amount of parameters. Generic examples are computer-based simulations, data mining, or forecasting. Indispensable foundation in every such situation is a mathematical or statistical model. It allows to represent the underlying real-world phenomenon - or at least some simplification thereof - in a way suitable for computation and mathematical analysis. The model formulation very often involves multivariate functions f(x1, ...,xd) where the dimension d may be very large. The problem of inter- and extrapolation then is to find a function which fits the given data in a suitable sense. Problems of this kind are so ubiquitous that several mathematical disciplines are devoted to them. Each uses its own language: In approximation theory and numerical analysis, the terms function identification, function recovery, and function reconstruction are common. Statisticians speak of regression, function estimation or function fitting. To learn a function is also a widely used phrase in machine learning and statistical learning theory.

Optimierungsrechnung, Entscheidungsunterstützung,    Analysis

The Research Institute for Mathematical Sciences (RIMS)

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

ICERM

Probabilistic methods have long played an important role in various areas of geometry and analysis. Notable applications of probabilistic methods appear, for example, in geometric functional analysis, in harmonic analysis, and in discrete mathematics. Conversely, mathematical phenomena of fundamentally geometric and analytic origin, such as the concentration of measure phenomenon, play a central role in modern probability theory. Novel interactions between probability, geometry and analysis continue to drive important innovations in these fields.

The aim of this workshop is to bring together a diverse range of experts from probability, geometry, and analysis, in order to promote further dialogue between these fields and to catalyze the creation of new interactions.

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

Geometrie und Topologie,    Analysis

Banach Center

Department of Mathematics, United Arab Emirates University

The workshop focused on important developments within the last few years in functional and harmonic analysis, including fractional calculus, as well as significant concurrent progress in the application of these to PDEs and numerical analysis. The aim of this workshop is to bring together researchers from various areas, both theoretical and applied, who are working in fields related to mathematical analysis. It shall stimulate interactions and open new perspectives for future research.

Email: salem.bensaid@uaeu.ac.ae

Developing multi-dimensional electron microscopy would have transformative impact in physics, chemistry, materials science, nanoscience and other fields. Advancing the field requires integration of state-of-the-art atomic electron tomography, ptychography, 4D scanning transmission electron microscopy and spectroscopic techniques as well as powerful computational algorithms and mathematical modeling. This workshop will provide the opportunity to present and exchange ideas, share data, and introduce new tools and develop new imaging paradigms needed in a variety of fields.

Mikroskopie,    Wissenschaftliches Rechnen und Datenwissenschaft

Professor Yilmaz Simsek, (Akdeniz University, Turkey)

The aim of the conference is to bring together leading scientists of the pure and applied mathematics and related areas to present their researches, to exchange new ideas, to discuss challenging issues, to foster future collaborations and to interact with each other.

Tel.: [+90 242 310 2343];     Email: micopam2018@gmail.com

Mathematical Analysis, Algebra and Analytic Number Theory, Combinatorics and Probability, Pure & Applied Mathematics and Related Areas, Mathematical Statistics and its applications, Recent Advances in General Inequalities, Mathematical Physics, Fractional Calculus and Its Applications, Polynomials and Orthogonal systems, Special numbers and Special functions, q-analysis and its applications, Approximation Theory and Optimization, Extremal Problems and Inequalities, Integral Transformations, Equations and Operational Calculus, Differential Equations and their applications, Geometry and Its Applications, Numerical Methods and Algorithms, Scientific Computation, Mathematical Methods and Computation in Engineering, Mathematical Geosciences, p-adic numbers, p-adic analysis and their applications, Mathematical Modelling, Marketing, Business and their applications, Mathematical Methods for Engineering Applications

Analysis,    Algebra

Society for Industrial and Applied Mathematics (SIAM)

Institut Henri Poincaré (IHP)

Présentation de logiciels

Wissenschaftliches Rechnen und Datenwissenschaft,    Computerprogramme

The Research Institute for Mathematical Sciences (RIMS)

Statistik, Spieltheorie ,    Mathematische Physik

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

Kurse und Veranstaltungen für Studenten der Mathematik,    Geophysik und Geologie

The implementation of advanced algorithms with user-friendly software packages has made the cryo-EM method straightforward in practice. Despite these exciting advances, major challenges still remain, such as higher throughput, mapping continuous deformations, reconstruction of small macromolecules, and in sample preparation. For pleomorphic structures, cryo-electron tomography (cryo-ET) is the method of choice, but it is typically limited to lower resolution compared to cryo-EM, and it remains a daunting challenge to determine macromolecular structures in situ at high resolution. Overcoming these major challenges in cryo-EM and cryo-ET requires significant advances in sample preparation, hardware development and computational algorithms. The goal of this workshop is to bring together leading experts in cryo-EM, biologists, applied mathematicians and physicists to discuss and debate the current challenges and future perspectives of this very exciting cross-disciplinary field.

Mikroskopie,    Wissenschaftliches Rechnen und Datenwissenschaft

The Research Institute for Mathematical Sciences (RIMS)

Eduardo Mondlane University, Maputo

The primary goal of the Masamu (masamu means mathematics in Southern Africa) Program is to enhance research in mathematical sciences and related areas within Southern Africa Mathematical Sciences Association (SAMSA) institutions and beyond through promotion of international research collaboration. The Masamu Program was established in 2010 with the support of the US National Science Foundation. A key component of the Masamu Program is the Masamu Advanced Study Institute (MASI) and Workshop Series in mathematical sciences and related areas that provides a platform for such collaboration. Other activities include Research Workshop, Career Development Workshop, High Performance Computing Workshop, STEM Education Workshop, Department Heads and Chairs and Senior Research Scientists Workshop, Colloquia, Faculty Exchange and Study Abroad Programs. The target audiences of the Advanced Study Institute are graduate students, postdocs, and early career faculty (rank less than associate professor) while the workshops are open to students, faculty, and other researchers in the mathematical sciences and related areas.

ICERM

Extremal problems in harmonic analysis recently acquired prominence in questions ranging from optimizers in Fourier restriction results to sharp geometric inequalities to sharp estimates of various singular operators of Calderón–Zygmund type. Sharp inequalities and their stability versions reveal new connections between harmonic analysis, geometric measure theory, additive combinatorics, and stochastic optimal control. There are many examples of sharp estimates by stochastic control approach and the use of special types of convexity and Monge–Ampére equation. There are interesting examples of using the computational tools in proving sharp geometric inequalities for martingales and on Hamming cube and for Fourier restriction inequalities.

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

Graphentheorie und Kombinatorik,    Geometrie und Topologie

The Research Institute for Mathematical Sciences (RIMS)

The Research Institute for Mathematical Sciences (RIMS)

The Fields Institute

One goal of this workshop is to facilitate the exchange of novel ideas and results in mathematical ecology and to showcase the importance of the field in the face of many challenges from invasive species to climate change. Another goal is to celebrate and honour the exceptional achievements in the area of mathematical ecology of Prof Mark Lewis (Alberta) on the occasion of his 60th birthday (December 5, 2022).

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;     Tel.: [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.

Institute of Mathematical Statistics (IMS)

The first 2022 IMS ICSDS will be a four-day conference to be held in Florence, Italy in December 2022. Its objective is to bring together researchers in statistics and data science from academia, industry and government in a stimulating environment to exchange ideas on the developments of modern statistics, machine learning theory, methods and applications in data science. The conference will consist of several plenary sessions, and about 50 invited, contributed and poster sessions; with a portion of invited sessions designated for young researchers. The expected size of the conference is 300-400 participants. The conference will present topics with broad appeal, including: deep learning, causal inference, precision medicine, unsupervised, semi-supervised and supervised learning, nonparametrics, Bayesian statistics, environment statistics, network and graphic models, recommender systems, bioinformatics, high-dimensional data, functional data, genomics, drug discovery, statistics computations, imaging, intrusion and fraud detection, etc.

The Research Institute for Mathematical Sciences (RIMS)

Analysis,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

Society for Industrial and Applied Mathematics (SIAM)

The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.

Relevant areas of applied algorithmic research include but are not limited to databases; geometry; graphs and networks, including web applications; operations research; combinatorial aspects of scientific computing; and computational problems in the natural sciences or engineering.

SODA is sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory.

The scope includes theoretical analysis, as well as experimental validation, and the mathematical problems related to their development or limitations. The scope also includes aspects of combinatorics and discrete mathematics related to discrete algorithms. Papers that raise important algorithmic problems that can benefit from theoretical investigation and analysis, are encouraged.

Society for Industrial and Applied Mathematics (SIAM)

Symposium on Simplicity in Algorithms is a conference in theoretical computer science dedicated to advancing algorithms research by promoting simplicity and elegance in the design and analysis of algorithms. The benefits of simplicity are manifold: simpler algorithms manifest a better understanding of the problem at hand; they are more likely to be implemented and trusted by practitioners; they can serve as benchmarks, as an initialization step, or as the basis for a “state of the art'' algorithm; they are more easily taught and are more likely to be included in algorithms textbooks; and they attract a broader set of researchers to difficult algorithmic problems.

Algorithmen und Datenstrukturen,    Informationstheorie und Grundlagen der Informatik

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Simulation

Society for Industrial and Applied Mathematics (SIAM)

The Symposium on Algorithmic Principles of Computer Systems (APOCS) serves as a venue for algorithm papers that are strongly motivated by systems, and systems papers with provable algorithmic guarantees. Contributed papers are sought in all areas of algorithms and architectures that offer insight into the performance and design of computer systems.

Algorithmen und Datenstrukturen,    Softwareentwicklung

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

The sixth workshop on this theme has a primary focus on mathematical and statistical methods for analysing genomic data in the context of infectious disease transmission dynamics. A secondary focus area is the development and application of network theory for epidemiology.

Genomforschung und Bioinformatik,    Komplexe Netzwerke

ICERM

Discrete periodic Schrodinger operators describe the behavior of individual electrons in "ideal" crystals in the tight-binding model of solid state physics. Spectra of such operators have the usual band-gap structure, and the corresponding dispersion relations are algebraic varieties. In the 1990's Gieseker, Knorrer, and Trubowitz used toroidal compactifications to solve questions such as irreducibility of Bloch and Fermi varieties and the density of states, for a class of mono-atomic models. Their work showed that while spectral theory is focused on the real part of the Bloch variety, the study of complex singularities and compactifications is crucial for describing formation of bands and gaps. After a gap of 30 years, spectral theory is again interacting with algebraic geometry. Recently, W. Liu gave an algebraic method to obtain more general proofs of irreducibility for Fermi surfaces, Kravaris used free resolutions to study density of states, and Kuchment and coauthors used toric varieties and numerical nonlinear algebra to study spectral edges. These and other developments have led to the realization that many open questions in spectral theory may be studied using modern tools in algebraic geometry. These include the relation of reducibility/irreducibility with physical symmetries of the crystals, the structure of spectral band edges, and Dirac cones. These methods can also be applied to quantum graphs, such as graphene-type structures, and to obtain existence and non-existence theorems for embedded eigenvalues. The goal of this workshop is to bring together experts from spectral theory, mathematical physics, and algebraic geometry to understand, apply, and advance these new methods and interactions. A significant aspect of these reemerging interactions involves computation. A key recent development in algebraic geometry is computation, both symbolic and numerical. Computation and experimentation using tools from algebraic geometry have already been important in two recent papers by Sottile on this subject, and we expect it to become a useful tool for studying periodic operators. Speakers in this workshop are firmly rooted in the uses of computation and experimentation in applications of Algebraic Geometry, and many are familiar with exploiting the atmosphere and facilities of the ICERM to initiate collaboration.

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

Geometrie und Topologie,    Algebra

Society for Industrial and Applied Mathematics (SIAM)

Society for Industrial and Applied Mathematics (SIAM)

Optimal Transport theory contains the core of the solutions to diverse problems in science, in applied mathematics, physics and astrophysics. Recent advances and developments of fast new algorithms have paved the way for major breakthroughs in different domains of research. Optimal transport bears deep-rooted connections with mechanics and physics through variational calculus. The goal of this workshop is to describe recent developments, highlight connections with physical phenomena and harbour discussions to define new challenges, help start projects between participants and draw new research path in the field. The aim is to exploit applications of optimal transport theory to physics and bring together different expertise, from mathematics, Physics and computational science.

Tel.: [0033695753862];     Email: mohayaee@iap.fr

OPTIMAL TRANSPORT THEORY, FLUID MECHANICS, STATISTICAL PHYSICS, ASTROPHYSICS, DATA SCIENCE

Astronomie, Astrophysik und Kosmologie,    Mathematische Physik

The Research Institute for Mathematical Sciences (RIMS)

Simulation,    Thermodynamik, Hydrodynamik und Statistische Mechanik

Banach Center

The meeting is planned as a follow up of the BIOMATH 2019 and DSALSS 2022 conferences held in BC in Będlewo, and will include both a workshop and a school for young scientists. It is envisaged to address methods of dynamical systems in modeling and analysis of various phenomena in Biology, Medicine and Social Sciences. A particular emphasis will be placed on non-local effects both in time and space, singular perturbation methods, stochastic differential equations, generalized kinetic equations and reaction-diffusion equations. The discussed applications will cover, among others, infectious disease initiation, progress and optimal control, tumor – immune system interactions, autoimmune diseases, as well as network dynamics, traffic problems and opinion formation. The aim of the meeting is to continue, through the presentations and scientific interactions, the collaborations between researchers building on the success of BIOMATH 2019 and DSALSS 2022. A particular emphasis will be placed on interactions between junior researchers as well as between junior researchers and the established leaders in the field.

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

The workshop "Compensated Compactness and Applications to Materials" will bring together experts from the theory of compensated compactness with researchers in material science. Classical compensated compactness is a theory that allows to study the limit of solutions of some partial differential equations with strongly oscillating coefficients. A particular focus is on the very recent developments in the compensated compactness theory involving concentration effects and formation of singularities. These developments have enabled many new results, for instance in the theories of microstructure, shape optimization, dislocation theory, fracture, and plasticity, and they also hold much promise for future applications. To facilitate further breakthroughs, this workshop aims to balance theoretical and more applied talks to give the participants the opportunity to exchange the latest ideas, learn new methods, and start new collaborations.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Festkörperphysik

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

ICMS - International Centre for Mathematical Sciences

This workshop is part of the Isaac Newton Institute programme on The mathematical and statistical foundation of future data-driven engineering. A particular focus of this workshop will be on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.

data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods.

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

Present day biology generates a wealth of data from which tumor biology and tumor evolution can be inferred, and therapeutic strategies can be developed. Most clinical (and research) samples are comprised of a mixture of different cells, including multiple different populations of cancer cells (‘subclones’) and a variety of normal cell types. Effective use of these data thus requires data from individual cell types to be deconvolved. A number of subfields are independently developing mathematical and statistical deconvolution techniques. While at first glance these subfields are largely disparate, there are clear opportunities for synergies to be developed. This workshop will fill this gap by bringing together researchers from several of these fragmented subfields across a wide range of backgrounds (computational biology, mathematics, statistics, computer science, biomedicine, etc.) to provide a synergistic forum for cross-disciplinary learning, discussion and collaboration.

Banach Center

Thermodynamic formalism provides a mathematical framework for studying qualitative and quantitative aspects of dynamical systems. Founders of this theory include Sinai, Bowen, and Ruelle, but principle ideas have their origin in the development by Gibbs to describe interacting particle physical systems in the realm of statistical mechanics. Key concepts include Bernoulli and Gibbs distributions, equilibrium states, variational and, in particular, maximum entropy principles. Its contemporary mathematical aspects are intimately related with ergodic theory and have applications in fractal geometry, the description of large deviations, multifractal analysis, analysis of axiom A-systems, rigidity problems, ergodic optimization and control problems, among many others. There are also relations to geometry and group theory.

ICMS - International Centre for Mathematical Sciences

Waves on the surface of a fluid, or on the interface between different fluids are ubiquitous phenomena with wide importance in technology, science and the environment. Over the past fifty years the advent of numerical computations have meant that fundamental questions about waves have proven to be fertile ground for numerical approaches, and additionally rigorous theory, numerical and asymptotic methods have intersected to furnish a vibrant interdisciplinary ground for fundamental research.

This workshop will bring together mathematicians and other scientists working on numerical, asymptotic and rigorous aspects on a variety of free surface flows.

Computerphysik und Numerische Simulation,    Thermodynamik, Hydrodynamik und Statistische Mechanik

Association of Nepalese Mathematicians in America (ANMA), Nepal Mathematical Society (NMS), Central Department of Mathematics at Tribhuvan University and Department of Mathematics at Kathmandu University

The conference provides a forum to a diverse group of scientists in applications of mathematics to natural and health sciences, engineering, and finance. Specific areas include, but are not limited to, differential equations, mathematical biology, computational mathematics, statistics, and big data, analysis, topology, number theory, algebra, mathematics education, optimization, operations research, quantitative finance, biomedical science, biophysics, and public health. The conference aims at bringing together research scholars from a variety of disciplines that impact nonlinear analysis and applications in bio- and physical sciences from the southeast Asian countries and around the globe.

Email: aryal@mail.usf.edu

Differential Equations, Mathematical Biology, Computational Mathematics, Statistics, Big Data, Analysis, Topology, Number Theory, Algebra, Mathematics Education, Optimization, Operations Research, Quantitative Finance, Biomedical Science, Biophysics, Public Health,

Statistik, Spieltheorie ,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Society for Industrial and Applied Mathematics (SIAM)

Numerische Analysis,    Algorithmen und Datenstrukturen

Society for Industrial and Applied Mathematics (SIAM)

ICERM

MSML2023 is the third edition of a newly established conference, with emphasis on promoting the study of mathematical theory and algorithms of machine learning, as well as applications of machine learning in scientific computing and engineering disciplines. This conference aims to bring together the communities of machine learning, applied mathematics, and computational science and engineering, to exchange ideas and progress in the fast-growing field of scientific machine learning (SciML).

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

The objective of this annual conference series is to promote the study of: Theory and algorithms of machine learning. Applications in scientific and engineering disciplines such as physics, chemistry, material sciences, fluid and solid mechanics, etc. To provide hands-on tutorials for students and new researchers in the field.

Society for Industrial and Applied Mathematics (SIAM)

ICMS - International Centre for Mathematical Sciences

This workshop will focus on developing new statistical solutions to address these new ecological data-driven challenges.

Statistik, Spieltheorie ,    Simulation

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

Banach Center

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

The 11th International Conference on Isogeometric Analysis (IGA 2023) will be organized in Lyon, France, on 18-21 June 2023. IGA 2023 is a meeting place for scientists focusing on isogeometric methods : researcher developing computational methods, engineers addressing challenging applications, ... The conference is one of the thematic conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).

Email: https://iga2023.sciencesconf.org/

Society for Industrial and Applied Mathematics (SIAM)

Dept. of Mathematics, Stockholm University, SWEDEN

Marcus Wallenberg Symposium in memory of SERGEY NABOKO

Mathematische Physik,    Analysis

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

Wissenschaftliches Rechnen und Datenwissenschaft,    Numerische Analysis

ICMS - International Centre for Mathematical Sciences

The International Conference on Stochastic Analysis and Applications (ICSAA) is a biannual on Stochastic Analysis. The first edition of this conference series was held in Washington in 2006, for past editions of ICSAA see https://www.math.uni-bielefeld.de/icsaa/#history. It is in the scope of the conference to embrace a wide breadth of topics in stochastic analysis and interplaying mathematical disciplines.

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

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

ICMS - International Centre for Mathematical Sciences

ICERM

Solving systems of nonlinear equations and optimization problems are pervasive issues throughout the mathematical sciences with applications in many areas. Acceleration and extrapolation methods have emerged as a key technology to solve these problems efficiently and robustly. The simple underlying idea of these methods is to recombine previous approximations in a sequence to determine the next term or approximation. This approach has been applied repeatedly and from different angles to numerous problems over the last several decades. Important methods including epsilon algorithms and Anderson acceleration were introduced throughout the early and mid-20th century, and are now common in many applied fields including optimization, machine learning, computational chemistry, materials, and climate sciences. Within the last decade, theoretical advances on convergence, acceleration mechanisms, and the development of unified frameworks to understand these methods have come to light, yet our understanding remains incomplete. Fascinating links exist with methods such as Nesterov acceleration and other momentum-based approaches that have been developed in the fields of optimization and machine learning in the past decades. These links and connections with dynamical systems appear to be promising directions for further insight that remain largely unexplored. The goals of this workshop include assessing the state of the art and exploring connections between closely related methods that may have been independently developed; connecting theory to practice by fostering interaction between theorists and applied practitioners; and, encouraging new and continuing collaborations between participants.

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

Mathematics and Computation Division of the American Nuclear Society

The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2023) is a part of a series of topical meetings organised by the Mathematics and Computation Division of the American Nuclear Society. The M&C conferences, held every two years, represent a series of international forums organised and sponsored to bring together worldwide expertise related to nuclear science or technology including mathematical and computational methods, numerical analysis, computer codes, computer architectures, and benchmarks for computationally solving problems in all disciplines encompassed by the Society.

Kernenergie,    Computerphysik und Numerische Simulation

ICMS - International Centre for Mathematical Sciences

The aim of this workshop is to bring together experts from different communities to cover the investigation of diffusive systems from several viewpoints: analytically, combining methods and techniques from Partial Differential Equations (PDEs) and dynamical systems to derive and analyse mathematical models for the applied phenomena; numerically, reviewing the most recent techniques and software for the computation of bifurcation diagrams and continuation with respect to the systems’ parameters; and, last but not least, from the applied — in particular biological — viewpoint: a constant exchange of knowledge between the theoretical investigations and the experimental data is in fact crucial in order to advance the research in this area. Our speakers will illustrate the most recent advancements in these fields, and foster the creation of new research directions with a concluding description of three open research questions aimed at colleagues working in fields different from their own. This will allow researchers with different backgrounds to learn ultimate techniques, connect with experts from various areas, and collaborate with fellow participants to produce new, cutting-edge research.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics) and Institute of Mathematics of the Polish Academy of Sciences

Many physical, chemical, biomedical, and techni- cal processes can be described by means of partial differential equations or dynamical systems. In recent years, multi-physics and multi-scale prob- lems have become a particular focus of applied mathematical research. A numerical treatment of such problems is usually very time consuming and thus requires the development of efficient discret- ization schemes that are often realized on large parallel computing environments. In addition, these problems often need to be solved repeatedly for many varying parameters, introducing a curse of dimensionality when the solution is also viewed as a function of these parameters. Examples for such situations include design, control, optimiza- tion, inverse problems, uncertainty analysis and statistical sampling.

The seminar takes place at the Mathematical Re- search and Conference Center of the Institute of Mathematics of the Polish Academy of Sciences in Będlewo.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics) and Institute of Mathematics of the Polish Academy of Sciences

Optimal transport theory is a very successful field of mathematics connecting calculus of variations, probability theory, differential geometry, partial differential equations, functional analysis, statis- tics and computer sciences. Going back to Monge around 1780, this theory has deep connections with the earlier work of Euler on Hydrodynamics around 1750. This connection has recently known a strong revival on many different sides, leading to various non trivial generalizations of the con- cept of optimal transport.

The seminar takes place at the Mathematical Re- search and Conference Center of the Institute of Mathematics of the Polish Academy of Sciences in Będlewo.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Banach Center

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

ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Informations & Wissensmanagement, Big Data Computing,    Wissenschaftliches Rechnen und Datenwissenschaft

Society for Industrial and Applied Mathematics (SIAM)

The SIAM Annual Meeting provides a broad view of the state of the art in applied mathematics, computational science, and their applications through invited presentations, prize lectures, minitutorials, minisymposia, contributed presentations and posters.

Society for Industrial and Applied Mathematics (SIAM)